Profile
Professor of Physics.
Complex Networks. Cries over melting snow.
Publications
Smiljanic, Jelena; Edler, Daniel; Rosvall, Martin Mapping flows on sparse networks with missing links Journal Article Phys. Rev. E, 102 , pp. 012302, 2020. @article{PhysRevE.102.012302, title = {Mapping flows on sparse networks with missing links}, author = {Jelena Smiljanic and Daniel Edler and Martin Rosvall}, url = {https://link.aps.org/doi/10.1103/PhysRevE.102.012302}, doi = {10.1103/PhysRevE.102.012302}, year = {2020}, date = {2020-07-01}, journal = {Phys. Rev. E}, volume = {102}, pages = {012302}, publisher = {American Physical Society}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Bota, Andras; Holmberg, Martin; Gardner, Lauren; Rosvall, Martin Socio-economic and environmental patterns behind H1N1 spreading in Sweden Journal Article medRxiv, 2020. @article{Bota2020.03.18.20038349, title = {Socio-economic and environmental patterns behind H1N1 spreading in Sweden}, author = {Andras Bota and Martin Holmberg and Lauren Gardner and Martin Rosvall}, url = {https://www.medrxiv.org/content/early/2020/04/24/2020.03.18.20038349}, doi = {10.1101/2020.03.18.20038349}, year = {2020}, date = {2020-01-01}, journal = {medRxiv}, publisher = {Cold Spring Harbor Laboratory Press}, abstract = {The first influenza pandemic in our century started in 2009, spreading from Mexico to the rest of the world, infecting a noticeable fraction of the world population. The outbreak reached Europe in late April, and eventually, almost all countries had confirmed H1N1 cases. On 6 May, Swedish authorities reported the first confirmed influenza case. By the time the pandemic ended, more than 10 thousand people were infected in the country. In this paper, we aim to discover critical socio-economic, travel, and environmental factors contributing to the spreading of H1N1 in Sweden covering six years between 2009 and 2015, focusing on the onset and 2. the peak of the epidemic phase in each municipality. We apply the Generalized Inverse Infection Method (GIIM) to identify these factors. GIIM represents an epidemic spreading process on a network of nodes corresponding to geographical objects, connected by links indicating travel routes, and transmission probabilities assigned to the links guiding the infection process. The GIIM method uses observations on a real-life outbreak as a training dataset to estimate these probabilities and construct a simulated outbreak matching the training data as close as possible. Our results show that the influenza outbreaks considered in this study are mainly driven by the largest population centers in the country. Also, changes in temperature have a noticeable effect. Other socio-economic factors contribute only moderately to the epidemic peak and have a negligible effect on the epidemic onset. We also demonstrate that by training our model on the 2009 outbreak, we can predict the timing of the epidemic onset in the following five seasons with good accuracy. The model proposed in this paper provides a real-time decision support tool advising on resource allocation and surveillance. Furthermore, while this study only considers H1N1 outbreaks, the model can be adapted to other influenza strains or diseases with a similar transmission mechanism.Competing Interest StatementThe authors have declared no competing interest.Funding StatementAndras Bota was supported by the Olle Engkvist Byggmästare Foundation. Martin Rosvall was supported by the Swedish Research Council, grant 2016-00796.Author DeclarationsAll relevant ethical guidelines have been followed; any necessary IRB and/or ethics committee approvals have been obtained and details of the IRB/oversight body are included in the manuscript.YesAll necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived.YesI understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance).Yes I have followed all appropriate research reporting guidelines and uploaded the relevant EQUATOR Network research reporting checklist(s) and other pertinent material as supplementary files, if applicable.YesData available on request from the authors}, keywords = {}, pubstate = {published}, tppubtype = {article} } The first influenza pandemic in our century started in 2009, spreading from Mexico to the rest of the world, infecting a noticeable fraction of the world population. The outbreak reached Europe in late April, and eventually, almost all countries had confirmed H1N1 cases. On 6 May, Swedish authorities reported the first confirmed influenza case. By the time the pandemic ended, more than 10 thousand people were infected in the country. In this paper, we aim to discover critical socio-economic, travel, and environmental factors contributing to the spreading of H1N1 in Sweden covering six years between 2009 and 2015, focusing on the onset and 2. the peak of the epidemic phase in each municipality. We apply the Generalized Inverse Infection Method (GIIM) to identify these factors. GIIM represents an epidemic spreading process on a network of nodes corresponding to geographical objects, connected by links indicating travel routes, and transmission probabilities assigned to the links guiding the infection process. The GIIM method uses observations on a real-life outbreak as a training dataset to estimate these probabilities and construct a simulated outbreak matching the training data as close as possible. Our results show that the influenza outbreaks considered in this study are mainly driven by the largest population centers in the country. Also, changes in temperature have a noticeable effect. Other socio-economic factors contribute only moderately to the epidemic peak and have a negligible effect on the epidemic onset. We also demonstrate that by training our model on the 2009 outbreak, we can predict the timing of the epidemic onset in the following five seasons with good accuracy. The model proposed in this paper provides a real-time decision support tool advising on resource allocation and surveillance. Furthermore, while this study only considers H1N1 outbreaks, the model can be adapted to other influenza strains or diseases with a similar transmission mechanism.Competing Interest StatementThe authors have declared no competing interest.Funding StatementAndras Bota was supported by the Olle Engkvist Byggmästare Foundation. Martin Rosvall was supported by the Swedish Research Council, grant 2016-00796.Author DeclarationsAll relevant ethical guidelines have been followed; any necessary IRB and/or ethics committee approvals have been obtained and details of the IRB/oversight body are included in the manuscript.YesAll necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived.YesI understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance).Yes I have followed all appropriate research reporting guidelines and uploaded the relevant EQUATOR Network research reporting checklist(s) and other pertinent material as supplementary files, if applicable.YesData available on request from the authors |
Calatayud, Joaquín; Andivia, Enrique; Escuderoa, Adrián; Melián, Carlos J; Bernardo-Madrid, Rubén; Stoffel, Markus; Aponte, Cristina; Medina, Nagore G; Molina-Venegas, Rafael; Arnan, Xavier; Rosvall, Martin; Neuman, Magnus; Noriega, Jorge Ari; Alves-Martins, Fernanda; Draper, Isabel; Luzuriaga, Arantzazu; Ballesteros-Cánovas, Juan Antonio; Morales-Molino, César; Ferrandis, Pablo; Herrero, Asier; Pataro, Luciano; Juen, Leandro; Cea, Alex; Madrigal-González, Jaime Positive associations among rare species and their persistence in ecological assemblages Journal Article Nature Ecology and Evolution, 4 , pp. 40-45, 2019. @article{Calatayud2019, title = {Positive associations among rare species and their persistence in ecological assemblages}, author = {Joaquín Calatayud and Enrique Andivia and Adrián Escuderoa and Carlos J. Melián and Rubén Bernardo-Madrid and Markus Stoffel and Cristina Aponte and Nagore G. Medina and Rafael Molina-Venegas and Xavier Arnan and Martin Rosvall and Magnus Neuman and Jorge Ari Noriega and Fernanda Alves-Martins and Isabel Draper and Arantzazu Luzuriaga and Juan Antonio Ballesteros-Cánovas and César Morales-Molino and Pablo Ferrandis and Asier Herrero and Luciano Pataro and Leandro Juen and Alex Cea and Jaime Madrigal-González }, doi = {10.1038/s41559-019-1053-5}, year = {2019}, date = {2019-12-16}, journal = {Nature Ecology and Evolution}, volume = {4}, pages = {40-45}, abstract = {According to the competitive exclusion principle, species with low competitive abilities should be excluded by more efficient competitors; yet, they generally remain as rare species. Here, we describe the positive and negative spatial association networks of 326 disparate assemblages, showing a general organization pattern that simultaneously supports the primacy of competition and the persistence of rare species. Abundant species monopolize negative associations in about 90% of the assemblages. On the other hand, rare species are mostly involved in positive associations, forming small network modules. Simulations suggest that positive interactions among rare species and microhabitat preferences are the most probable mechanisms underpinning this pattern and rare species persistence. The consistent results across taxa and geography suggest a general explanation for the maintenance of biodiversity in competitive environments.}, keywords = {}, pubstate = {published}, tppubtype = {article} } According to the competitive exclusion principle, species with low competitive abilities should be excluded by more efficient competitors; yet, they generally remain as rare species. Here, we describe the positive and negative spatial association networks of 326 disparate assemblages, showing a general organization pattern that simultaneously supports the primacy of competition and the persistence of rare species. Abundant species monopolize negative associations in about 90% of the assemblages. On the other hand, rare species are mostly involved in positive associations, forming small network modules. Simulations suggest that positive interactions among rare species and microhabitat preferences are the most probable mechanisms underpinning this pattern and rare species persistence. The consistent results across taxa and geography suggest a general explanation for the maintenance of biodiversity in competitive environments. |
Calatayud, Joaquín; Bernardo-Madrid, Rubén; Neuman, Magnus; Rojas, Alexis; Rosvall, Martin Exploring the solution landscape enables more reliable network community detection Journal Article Phys. Rev. E, 100 , pp. 052308, 2019. @article{PhysRevE.100.052308, title = {Exploring the solution landscape enables more reliable network community detection}, author = {Joaquín Calatayud and Rubén Bernardo-Madrid and Magnus Neuman and Alexis Rojas and Martin Rosvall}, url = {https://link.aps.org/doi/10.1103/PhysRevE.100.052308}, doi = {10.1103/PhysRevE.100.052308}, year = {2019}, date = {2019-11-01}, journal = {Phys. Rev. E}, volume = {100}, pages = {052308}, publisher = {American Physical Society}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Lambiotte, Renaud; Rosvall, Martin; Scholtes, Ingo From networks to optimal higher-order models of complex systems Journal Article Nature Physics, 15 (4), pp. 313-320, 2019, ISSN: 1745-2481. @article{Lambiotte2019, title = {From networks to optimal higher-order models of complex systems}, author = {Renaud Lambiotte and Martin Rosvall and Ingo Scholtes}, url = {https://doi.org/10.1038/s41567-019-0459-y}, doi = {10.1038/s41567-019-0459-y}, issn = {1745-2481}, year = {2019}, date = {2019-04-01}, journal = {Nature Physics}, volume = {15}, number = {4}, pages = {313-320}, abstract = {Rich data are revealing that complex dependencies between the nodes of a network may not be captured by models based on pairwise interactions. Higher-order network models go beyond these limitations, offering new perspectives for understanding complex systems.}, keywords = {}, pubstate = {published}, tppubtype = {article} } Rich data are revealing that complex dependencies between the nodes of a network may not be captured by models based on pairwise interactions. Higher-order network models go beyond these limitations, offering new perspectives for understanding complex systems. |
Rosvall, Martin; Delvenne, Jean-Charles; Schaub, Michael T; Lambiotte, Renaud Different Approaches to Community Detection Book Chapter Advances in Network Clustering and Blockmodeling, Chapter 4, pp. 105-119, John Wiley & Sons, Ltd, 2019, ISBN: 9781119483298. @inbook{doi:10.1002/9781119483298.ch4, title = {Different Approaches to Community Detection}, author = {Martin Rosvall and Jean-Charles Delvenne and Michael T Schaub and Renaud Lambiotte}, url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/9781119483298.ch4}, doi = {10.1002/9781119483298.ch4}, isbn = {9781119483298}, year = {2019}, date = {2019-01-01}, booktitle = {Advances in Network Clustering and Blockmodeling}, pages = {105-119}, publisher = {John Wiley & Sons, Ltd}, chapter = {4}, abstract = {Summary This chapter unfolds different aims underpinning community detection – in a relaxed form that includes assortative as well as disassortative group structures with dense and sparse internal connections, respectively – and discusses how the resulting problem perspectives relate to various applications. It focuses on four broad perspectives that have served as motivation for community detection in the literature: the cut-based perspective that minimizes a constraint such as the number of links between groups of nodes, the clustering perspective that maximizes internal density in groups of nodes, the stochastic block model perspective that identifies groups of nodes in which nodes are stochastically equivalent, and the dynamical perspective that identifies groups of nodes in which flows stay for a relatively long time such that they form building blocks of dynamics on networks. While this categorization is not unique, the authors believe that it can help clarify concepts about community detection.}, keywords = {}, pubstate = {published}, tppubtype = {inbook} } Summary This chapter unfolds different aims underpinning community detection – in a relaxed form that includes assortative as well as disassortative group structures with dense and sparse internal connections, respectively – and discusses how the resulting problem perspectives relate to various applications. It focuses on four broad perspectives that have served as motivation for community detection in the literature: the cut-based perspective that minimizes a constraint such as the number of links between groups of nodes, the clustering perspective that maximizes internal density in groups of nodes, the stochastic block model perspective that identifies groups of nodes in which nodes are stochastically equivalent, and the dynamical perspective that identifies groups of nodes in which flows stay for a relatively long time such that they form building blocks of dynamics on networks. While this categorization is not unique, the authors believe that it can help clarify concepts about community detection. |
Bernardo-Madrid, Rubén; Calatayud, Joaquín; González-Suarez, Manuela; Rosvall, Martin; Lucas, Pablo M; Rueda, Marta; Antonelli, Alexandre; Revilla, Eloy Human activity is altering the world's zoogeographical regions Journal Article bioRxiv, pp. 287300, 2018. @article{bernardo2018human, title = {Human activity is altering the world's zoogeographical regions}, author = {Rubén Bernardo-Madrid and Joaquín Calatayud and Manuela González-Suarez and Martin Rosvall and Pablo M Lucas and Marta Rueda and Alexandre Antonelli and Eloy Revilla}, doi = {10.1101/287300}, year = {2018}, date = {2018-01-01}, journal = {bioRxiv}, pages = {287300}, abstract = {Human activity leading to both species introductions and extinctions is widely known to influence diversity patterns on local and regional scales. Yet, it is largely unknown whether the intensity of this activity is enough to affect the configuration of biodiversity at broader levels of spatial organization. Zoogeographical regions, or zooregions, are surfaces of the Earth defined by characteristic pools of species, which reflect ecological, historical, and evolutionary processes acting over millions of years. Consequently, it is widely assumed that zooregions are robust and unlikely to change on a human timescale. Here, however, we show that human-mediated introductions and extinctions can indeed reconfigure the currently recognized zooregions of amphibians, mammals, and birds. In particular, introductions homogenize the African and Eurasian zooregions in mammals; reshape boundaries with the reallocation of Oceania to the New World zooregion in amphibians; and divide bird zooregions by increasing biotic heterogeneity. Furthermore, the combined effect of amphibian introductions and extinctions has the potential to divide two zooregions largely representing the Old and the New World. Interestingly, the robustness of zooregions against changes in species composition may largely explain such zoogeographical changes. Altogether, our results demonstrate that human activities can erode the higher-level organization of biodiversity formed over millions of years. Comparable reconfigurations have previously been detectable in Earth's history only after glaciations and mass extinction events, highlighting the profound and far-reaching impact of ongoing human activity and the need to protect the uniqueness of biotic assemblages from the effects of future species introductions and extinctions.}, keywords = {}, pubstate = {published}, tppubtype = {article} } Human activity leading to both species introductions and extinctions is widely known to influence diversity patterns on local and regional scales. Yet, it is largely unknown whether the intensity of this activity is enough to affect the configuration of biodiversity at broader levels of spatial organization. Zoogeographical regions, or zooregions, are surfaces of the Earth defined by characteristic pools of species, which reflect ecological, historical, and evolutionary processes acting over millions of years. Consequently, it is widely assumed that zooregions are robust and unlikely to change on a human timescale. Here, however, we show that human-mediated introductions and extinctions can indeed reconfigure the currently recognized zooregions of amphibians, mammals, and birds. In particular, introductions homogenize the African and Eurasian zooregions in mammals; reshape boundaries with the reallocation of Oceania to the New World zooregion in amphibians; and divide bird zooregions by increasing biotic heterogeneity. Furthermore, the combined effect of amphibian introductions and extinctions has the potential to divide two zooregions largely representing the Old and the New World. Interestingly, the robustness of zooregions against changes in species composition may largely explain such zoogeographical changes. Altogether, our results demonstrate that human activities can erode the higher-level organization of biodiversity formed over millions of years. Comparable reconfigurations have previously been detectable in Earth's history only after glaciations and mass extinction events, highlighting the profound and far-reaching impact of ongoing human activity and the need to protect the uniqueness of biotic assemblages from the effects of future species introductions and extinctions. |
Peixoto, Tiago P; Rosvall, Martin Modelling sequences and temporal networks with dynamic community structures Journal Article Nature Communications, 8 (1), 2017. @article{Peixoto_2017, title = {Modelling sequences and temporal networks with dynamic community structures}, author = {Tiago P Peixoto and Martin Rosvall}, url = {https://doi.org/10.1038%2Fs41467-017-00148-9}, doi = {10.1038/s41467-017-00148-9}, year = {2017}, date = {2017-09-01}, journal = {Nature Communications}, volume = {8}, number = {1}, publisher = {Springer Nature}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Edler, Daniel; Bohlin, Ludvig; Rosvall, Martin Mapping Higher-Order Network Flows in Memory and Multilayer Networks with Infomap Journal Article Algorithms, 10 (4), pp. 112, 2017. @article{Edler_2017, title = {Mapping Higher-Order Network Flows in Memory and Multilayer Networks with Infomap}, author = {Daniel Edler and Ludvig Bohlin and Martin Rosvall}, url = {https://doi.org/10.3390%2Fa10040112}, doi = {10.3390/a10040112}, year = {2017}, date = {2017-09-01}, journal = {Algorithms}, volume = {10}, number = {4}, pages = {112}, publisher = {MDPI AG}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Bae, Seung-Hee; Halperin, Daniel; West, Jevin D; Rosvall, Martin; Howe, Bill Scalable and Efficient Flow-Based Community Detection for Large-Scale Graph Analysis Journal Article ACM Transactions on Knowledge Discovery from Data, 11 (3), pp. 1–30, 2017. @article{Bae_2017, title = {Scalable and Efficient Flow-Based Community Detection for Large-Scale Graph Analysis}, author = {Seung-Hee Bae and Daniel Halperin and Jevin D West and Martin Rosvall and Bill Howe}, url = {https://doi.org/10.1145%2F2992785}, doi = {10.1145/2992785}, year = {2017}, date = {2017-03-01}, journal = {ACM Transactions on Knowledge Discovery from Data}, volume = {11}, number = {3}, pages = {1--30}, publisher = {Association for Computing Machinery (ACM)}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Schaub, Michael T; Delvenne, Jean-Charles; Rosvall, Martin; Lambiotte, Renaud The many facets of community detection in complex networks Journal Article Applied Network Science, 2 (1), 2017. @article{Schaub_2017, title = {The many facets of community detection in complex networks}, author = {Michael T Schaub and Jean-Charles Delvenne and Martin Rosvall and Renaud Lambiotte}, url = {https://doi.org/10.1007%2Fs41109-017-0023-6}, doi = {10.1007/s41109-017-0023-6}, year = {2017}, date = {2017-02-01}, journal = {Applied Network Science}, volume = {2}, number = {1}, publisher = {Springer Nature}, abstract = {Community detection, the decomposition of a graph into essential building blocks, has been a core research topic in network science over the past years. Since a precise notion of what constitutes a community has remained evasive, community detection algorithms have often been compared on benchmark graphs with a particular form of assortative community structure and classified based on the mathematical techniques they employ. However, this comparison can be misleading because apparent similarities in their mathematical machinery can disguise different goals and reasons for why we want to employ community detection in the first place. Here we provide a focused review of these different motivations that underpin community detection. This problem-driven classification is useful in applied network science, where it is important to select an appropriate algorithm for the given purpose. Moreover, highlighting the different facets of community detection also delineates the many lines of research and points out open directions and avenues for future research.}, keywords = {}, pubstate = {published}, tppubtype = {article} } Community detection, the decomposition of a graph into essential building blocks, has been a core research topic in network science over the past years. Since a precise notion of what constitutes a community has remained evasive, community detection algorithms have often been compared on benchmark graphs with a particular form of assortative community structure and classified based on the mathematical techniques they employ. However, this comparison can be misleading because apparent similarities in their mathematical machinery can disguise different goals and reasons for why we want to employ community detection in the first place. Here we provide a focused review of these different motivations that underpin community detection. This problem-driven classification is useful in applied network science, where it is important to select an appropriate algorithm for the given purpose. Moreover, highlighting the different facets of community detection also delineates the many lines of research and points out open directions and avenues for future research. |
Edler, Daniel; í, Tha; Zizka, Alexander; Rosvall, Martin; Antonelli, Alexandre Infomap Bioregions: Interactive Mapping of Biogeographical Regions from Species Distributions Journal Article Systematic Biology, pp. syw087, 2016. @article{Edler_2016, title = {Infomap Bioregions: Interactive Mapping of Biogeographical Regions from Species Distributions}, author = {Daniel Edler and Tha í and Alexander Zizka and Martin Rosvall and Alexandre Antonelli}, url = {https://doi.org/10.1093%2Fsysbio%2Fsyw087}, doi = {10.1093/sysbio/syw087}, year = {2016}, date = {2016-10-01}, journal = {Systematic Biology}, pages = {syw087}, publisher = {Oxford University Press (OUP)}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Kheirkhahzadeh, Masoumeh; Lancichinetti, Andrea; Rosvall, Martin Efficient community detection of network flows for varying Markov times and bipartite networks Journal Article Physical Review E, 93 (3), 2016. @article{Kheirkhahzadeh_2016, title = {Efficient community detection of network flows for varying Markov times and bipartite networks}, author = {Masoumeh Kheirkhahzadeh and Andrea Lancichinetti and Martin Rosvall}, url = {https://doi.org/10.1103%2Fphysreve.93.032309}, doi = {10.1103/physreve.93.032309}, year = {2016}, date = {2016-03-01}, journal = {Physical Review E}, volume = {93}, number = {3}, publisher = {American Physical Society (APS)}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Karimi, Fariba; Bohlin, Ludvig; Samoilenko, Anna; Rosvall, Martin; Lancichinetti, Andrea Mapping bilateral information interests using the activity of Wikipedia editors Journal Article Palgrave Communications, 1 (1), 2015. @article{Karimi_2015, title = {Mapping bilateral information interests using the activity of Wikipedia editors}, author = {Fariba Karimi and Ludvig Bohlin and Anna Samoilenko and Martin Rosvall and Andrea Lancichinetti}, url = {https://doi.org/10.1057%2Fpalcomms.2015.41}, doi = {10.1057/palcomms.2015.41}, year = {2015}, date = {2015-12-01}, journal = {Palgrave Communications}, volume = {1}, number = {1}, publisher = {Springer Nature}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Bohlin, Ludvig; Esquivel, Alcides Viamontes; Lancichinetti, Andrea; Rosvall, Martin Robustness of journal rankings by network flows with different amounts of memory Journal Article Journal of the Association for Information Science and Technology, 67 (10), pp. 2527–2535, 2015. @article{Bohlin_2015, title = {Robustness of journal rankings by network flows with different amounts of memory}, author = {Ludvig Bohlin and Alcides Viamontes Esquivel and Andrea Lancichinetti and Martin Rosvall}, url = {https://doi.org/10.1002%2Fasi.23582}, doi = {10.1002/asi.23582}, year = {2015}, date = {2015-10-01}, journal = {Journal of the Association for Information Science and Technology}, volume = {67}, number = {10}, pages = {2527--2535}, publisher = {Wiley-Blackwell}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Hotchkiss, E R; Jr, Hall R O; Sponseller, R A; Butman, D; Klaminder, J; Laudon, H; Rosvall, Martin; Karlsson, Jan Sources of and processes controlling CO2 emissions change with the size of streams and rivers Journal Article Nature Geoscience, 8 (9), pp. 696–699, 2015. @article{Hotchkiss_2015, title = {Sources of and processes controlling CO2 emissions change with the size of streams and rivers}, author = {E R Hotchkiss and Hall R O Jr and R A Sponseller and D Butman and J Klaminder and H Laudon and Martin Rosvall and Jan Karlsson}, url = {https://doi.org/10.1038%2Fngeo2507}, doi = {10.1038/ngeo2507}, year = {2015}, date = {2015-08-01}, journal = {Nature Geoscience}, volume = {8}, number = {9}, pages = {696--699}, publisher = {Springer Nature}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Bech, Morten L; Bergstrom, Carl T; Rosvall, Martin; Garratt, Rodney J Mapping change in the overnight money market Journal Article Physica A: Statistical Mechanics and its Applications, 424 , pp. 44–51, 2015. @article{Bech_2015, title = {Mapping change in the overnight money market}, author = {Morten L Bech and Carl T Bergstrom and Martin Rosvall and Rodney J Garratt}, url = {https://doi.org/10.1016%2Fj.physa.2014.11.034}, doi = {10.1016/j.physa.2014.11.034}, year = {2015}, date = {2015-04-01}, journal = {Physica A: Statistical Mechanics and its Applications}, volume = {424}, pages = {44--51}, publisher = {Elsevier BV}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Domenico, Manlio De; Lancichinetti, Andrea; Arenas, Alex; Rosvall, Martin Identifying Modular Flows on Multilayer Networks Reveals Highly Overlapping Organization in Interconnected Systems Journal Article Physical Review X, 5 (1), 2015. @article{De_Domenico_2015, title = {Identifying Modular Flows on Multilayer Networks Reveals Highly Overlapping Organization in Interconnected Systems}, author = {Manlio De Domenico and Andrea Lancichinetti and Alex Arenas and Martin Rosvall}, url = {https://doi.org/10.1103%2Fphysrevx.5.011027}, doi = {10.1103/physrevx.5.011027}, year = {2015}, date = {2015-03-01}, journal = {Physical Review X}, volume = {5}, number = {1}, publisher = {American Physical Society (APS)}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Kawamoto, Tatsuro; Rosvall, Martin Estimating the resolution limit of the map equation in community detection Journal Article Physical Review E, 91 (1), 2015. @article{Kawamoto_2015, title = {Estimating the resolution limit of the map equation in community detection}, author = {Tatsuro Kawamoto and Martin Rosvall}, url = {https://doi.org/10.1103%2Fphysreve.91.012809}, doi = {10.1103/physreve.91.012809}, year = {2015}, date = {2015-01-01}, journal = {Physical Review E}, volume = {91}, number = {1}, publisher = {American Physical Society (APS)}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Rosvall, Martin; Esquivel, Alcides V; Lancichinetti, Andrea; West, Jevin D; Lambiotte, Renaud Memory in network flows and its effects on spreading dynamics and community detection Journal Article Nature Communications, 5 , 2014. @article{Rosvall_2014, title = {Memory in network flows and its effects on spreading dynamics and community detection}, author = {Martin Rosvall and Alcides V Esquivel and Andrea Lancichinetti and Jevin D West and Renaud Lambiotte}, url = {https://doi.org/10.1038%2Fncomms5630}, doi = {10.1038/ncomms5630}, year = {2014}, date = {2014-08-01}, journal = {Nature Communications}, volume = {5}, publisher = {Springer Nature}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Bohlin, Ludvig; Rosvall, Martin Stock Portfolio Structure of Individual Investors Infers Future Trading Behavior Journal Article PLoS ONE, 9 (7), pp. e103006, 2014. @article{Bohlin_2014, title = {Stock Portfolio Structure of Individual Investors Infers Future Trading Behavior}, author = {Ludvig Bohlin and Martin Rosvall}, editor = {Alejandro Raul and Hernandez Montoya}, url = {https://doi.org/10.1371%2Fjournal.pone.0103006}, doi = {10.1371/journal.pone.0103006}, year = {2014}, date = {2014-07-01}, journal = {PLoS ONE}, volume = {9}, number = {7}, pages = {e103006}, publisher = {Public Library of Science (PLoS)}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Lambiotte, Renaud; Salnikov, Vsevolod; Rosvall, Martin Effect of memory on the dynamics of random walks on networks Journal Article Journal of Complex Networks, 3 (2), pp. 177–188, 2014. @article{Lambiotte_2014, title = {Effect of memory on the dynamics of random walks on networks}, author = {Renaud Lambiotte and Vsevolod Salnikov and Martin Rosvall}, url = {https://doi.org/10.1093%2Fcomnet%2Fcnu017}, doi = {10.1093/comnet/cnu017}, year = {2014}, date = {2014-06-01}, journal = {Journal of Complex Networks}, volume = {3}, number = {2}, pages = {177--188}, publisher = {Oxford University Press (OUP)}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Vilhena, Daril; Foster, Jacob; Rosvall, Martin; West, Jevin; Evans, James; Bergstrom, Carl Finding Cultural Holes: How Structure and Culture Diverge in Networks of Scholarly Communication Journal Article Sociological Science, 1 , pp. 221–238, 2014. @article{Vilhena_2014, title = {Finding Cultural Holes: How Structure and Culture Diverge in Networks of Scholarly Communication}, author = {Daril Vilhena and Jacob Foster and Martin Rosvall and Jevin West and James Evans and Carl Bergstrom}, url = {https://doi.org/10.15195%2Fv1.a15}, doi = {10.15195/v1.a15}, year = {2014}, date = {2014-01-01}, journal = {Sociological Science}, volume = {1}, pages = {221--238}, publisher = {Society for Sociological Science}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Bohlin, Ludvig; Edler, Daniel; Lancichinetti, Andrea; Rosvall, Martin Community Detection and Visualization of Networks with the Map Equation Framework Incollection Measuring Scholarly Impact, pp. 3–34, Springer International Publishing, 2014. @incollection{Bohlin_2014b, title = {Community Detection and Visualization of Networks with the Map Equation Framework}, author = {Ludvig Bohlin and Daniel Edler and Andrea Lancichinetti and Martin Rosvall}, url = {https://doi.org/10.1007%2F978-3-319-10377-8_1}, doi = {10.1007/978-3-319-10377-8_1}, year = {2014}, date = {2014-01-01}, booktitle = {Measuring Scholarly Impact}, pages = {3--34}, publisher = {Springer International Publishing}, keywords = {}, pubstate = {published}, tppubtype = {incollection} } |
Mirshahvalad, Atieh; Viamontes, Alcides; Lizana, Ludvig; Rosvall, Martin Dynamics of interacting information waves in networks Journal Article Physical Review E, 89 (1), 2014. @article{Mirshahvalad_2014, title = {Dynamics of interacting information waves in networks}, author = {Atieh Mirshahvalad and Alcides Viamontes and Ludvig Lizana and Martin Rosvall}, url = {https://doi.org/10.1103%2Fphysreve.89.012809}, doi = {10.1103/physreve.89.012809}, year = {2014}, date = {2014-01-01}, journal = {Physical Review E}, volume = {89}, number = {1}, publisher = {American Physical Society (APS)}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Bae, Seung-Hee; Halperin, Daniel; West, Jevin; Rosvall, Martin; Howe, Bill Scalable Flow-Based Community Detection for Large-Scale Network Analysis Inproceedings 2013 IEEE 13th International Conference on Data Mining Workshops, IEEE, 2013. @inproceedings{Bae_2013, title = {Scalable Flow-Based Community Detection for Large-Scale Network Analysis}, author = {Seung-Hee Bae and Daniel Halperin and Jevin West and Martin Rosvall and Bill Howe}, url = {https://doi.org/10.1109%2Ficdmw.2013.138}, doi = {10.1109/icdmw.2013.138}, year = {2013}, date = {2013-12-01}, booktitle = {2013 IEEE 13th International Conference on Data Mining Workshops}, publisher = {IEEE}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } |
Mirshahvalad, Atieh; Beauchesne, Olivier H; Archambault, Éric; Rosvall, Martin Resampling Effects on Significance Analysis of Network Clustering and Ranking Journal Article PLoS ONE, 8 (1), pp. e53943, 2013. @article{Mirshahvalad_2013, title = {Resampling Effects on Significance Analysis of Network Clustering and Ranking}, author = {Atieh Mirshahvalad and Olivier H Beauchesne and Éric Archambault and Martin Rosvall}, editor = {Renaud Lambiotte}, url = {https://doi.org/10.1371%2Fjournal.pone.0053943}, doi = {10.1371/journal.pone.0053943}, year = {2013}, date = {2013-01-01}, journal = {PLoS ONE}, volume = {8}, number = {1}, pages = {e53943}, publisher = {Public Library of Science (PLoS)}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Haring, Robin; Rosvall, Martin; Völker, Uwe; Völzke, Henry; Kroemer, Heyo; Nauck, Matthias; Wallaschofski, Henri A Network-Based Approach to Visualize Prevalence and Progression of Metabolic Syndrome Components Journal Article PLoS ONE, 7 (6), pp. e39461, 2012. @article{Haring_2012, title = {A Network-Based Approach to Visualize Prevalence and Progression of Metabolic Syndrome Components}, author = {Robin Haring and Martin Rosvall and Uwe Völker and Henry Völzke and Heyo Kroemer and Matthias Nauck and Henri Wallaschofski}, editor = {Angelo Scuteri}, url = {https://doi.org/10.1371%2Fjournal.pone.0039461}, doi = {10.1371/journal.pone.0039461}, year = {2012}, date = {2012-06-01}, journal = {PLoS ONE}, volume = {7}, number = {6}, pages = {e39461}, publisher = {Public Library of Science (PLoS)}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Lambiotte, Renaud; Rosvall, Martin Ranking and clustering of nodes in networks with smart teleportation Journal Article Physical Review E, 85 (5), 2012. @article{Lambiotte_2012, title = {Ranking and clustering of nodes in networks with smart teleportation}, author = {Renaud Lambiotte and Martin Rosvall}, url = {https://doi.org/10.1103%2Fphysreve.85.056107}, doi = {10.1103/physreve.85.056107}, year = {2012}, date = {2012-05-01}, journal = {Physical Review E}, volume = {85}, number = {5}, publisher = {American Physical Society (APS)}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Mirshahvalad, Atieh; Lindholm, Johan; é, Mattias Derl; Rosvall, Martin Significant Communities in Large Sparse Networks Journal Article PLoS ONE, 7 (3), pp. e33721, 2012. @article{Mirshahvalad_2012, title = {Significant Communities in Large Sparse Networks}, author = {Atieh Mirshahvalad and Johan Lindholm and Mattias Derl é and Martin Rosvall}, editor = {Alessandro Vespignani}, url = {https://doi.org/10.1371%2Fjournal.pone.0033721}, doi = {10.1371/journal.pone.0033721}, year = {2012}, date = {2012-03-01}, journal = {PLoS ONE}, volume = {7}, number = {3}, pages = {e33721}, publisher = {Public Library of Science (PLoS)}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Esquivel, Alcides Viamontes; Rosvall, Martin Compression of Flow Can Reveal Overlapping-Module Organization in Networks Journal Article Physical Review X, 1 (2), 2011. @article{Viamontes_Esquivel_2011, title = {Compression of Flow Can Reveal Overlapping-Module Organization in Networks}, author = {Alcides Viamontes Esquivel and Martin Rosvall}, url = {https://doi.org/10.1103%2Fphysrevx.1.021025}, doi = {10.1103/physrevx.1.021025}, year = {2011}, date = {2011-12-01}, journal = {Physical Review X}, volume = {1}, number = {2}, publisher = {American Physical Society (APS)}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Mirshahvalad, Atieh; Rosvall, Martin Reinforced communication and social navigation: Remember your friends and remember yourself Journal Article Physical Review E, 84 (3), 2011. @article{Mirshahvalad_2011, title = {Reinforced communication and social navigation: Remember your friends and remember yourself}, author = {Atieh Mirshahvalad and Martin Rosvall}, url = {https://doi.org/10.1103%2Fphysreve.84.036102}, doi = {10.1103/physreve.84.036102}, year = {2011}, date = {2011-09-01}, journal = {Physical Review E}, volume = {84}, number = {3}, publisher = {American Physical Society (APS)}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Rosvall, Martin; Bergstrom, Carl T Multilevel Compression of Random Walks on Networks Reveals Hierarchical Organization in Large Integrated Systems Journal Article PLoS ONE, 6 (4), pp. e18209, 2011. @article{Rosvall_2011, title = {Multilevel Compression of Random Walks on Networks Reveals Hierarchical Organization in Large Integrated Systems}, author = {Martin Rosvall and Carl T Bergstrom}, editor = {Fabio Rapallo}, url = {https://doi.org/10.1371%2Fjournal.pone.0018209}, doi = {10.1371/journal.pone.0018209}, year = {2011}, date = {2011-04-01}, journal = {PLoS ONE}, volume = {6}, number = {4}, pages = {e18209}, publisher = {Public Library of Science (PLoS)}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Bergstrom, Carl T; Rosvall, Martin Response to commentaries on The Transmission Sense of Information Journal Article Biology & Philosophy, 26 (2), pp. 195–200, 2011. @article{Bergstrom_2011, title = {Response to commentaries on The Transmission Sense of Information}, author = {Carl T Bergstrom and Martin Rosvall}, url = {https://doi.org/10.1007%2Fs10539-011-9257-3}, doi = {10.1007/s10539-011-9257-3}, year = {2011}, date = {2011-03-01}, journal = {Biology & Philosophy}, volume = {26}, number = {2}, pages = {195--200}, publisher = {Springer Nature}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Rosvall, Martin; Bergstrom, Carl T Mapping Change in Large Networks Journal Article PLoS ONE, 5 (1), pp. e8694, 2010. @article{Rosvall_2010, title = {Mapping Change in Large Networks}, author = {Martin Rosvall and Carl T Bergstrom}, editor = {Fabio Rapallo}, url = {https://doi.org/10.1371%2Fjournal.pone.0008694}, doi = {10.1371/journal.pone.0008694}, year = {2010}, date = {2010-01-01}, journal = {PLoS ONE}, volume = {5}, number = {1}, pages = {e8694}, publisher = {Public Library of Science (PLoS)}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Lizana, Ludvig; Rosvall, Martin; Sneppen, Kim Time Walkers and Spatial Dynamics of Aging Information Journal Article Physical Review Letters, 104 (4), 2010. @article{Lizana_2010, title = {Time Walkers and Spatial Dynamics of Aging Information}, author = {Ludvig Lizana and Martin Rosvall and Kim Sneppen}, url = {https://doi.org/10.1103%2Fphysrevlett.104.040603}, doi = {10.1103/physrevlett.104.040603}, year = {2010}, date = {2010-01-01}, journal = {Physical Review Letters}, volume = {104}, number = {4}, publisher = {American Physical Society (APS)}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Rosvall, Martin; Axelsson, D; Bergstrom, Carl T The map equation Journal Article The European Physical Journal Special Topics, 178 (1), pp. 13–23, 2009. @article{Rosvall_2009, title = {The map equation}, author = {Martin Rosvall and D Axelsson and Carl T Bergstrom}, url = {https://doi.org/10.1140%2Fepjst%2Fe2010-01179-1}, doi = {10.1140/epjst/e2010-01179-1}, year = {2009}, date = {2009-11-01}, journal = {The European Physical Journal Special Topics}, volume = {178}, number = {1}, pages = {13--23}, publisher = {Springer Nature}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Bergstrom, Carl T; Rosvall, Martin The transmission sense of information Journal Article Biology & Philosophy, 26 (2), pp. 159–176, 2009. @article{Bergstrom_2009, title = {The transmission sense of information}, author = {Carl T Bergstrom and Martin Rosvall}, url = {https://doi.org/10.1007%2Fs10539-009-9180-z}, doi = {10.1007/s10539-009-9180-z}, year = {2009}, date = {2009-10-01}, journal = {Biology & Philosophy}, volume = {26}, number = {2}, pages = {159--176}, publisher = {Springer Nature}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Rosvall, Martin; Sneppen, Kim Reinforced communication and social navigation generate groups in model networks Journal Article Physical Review E, 79 (2), 2009. @article{Rosvall_2009b, title = {Reinforced communication and social navigation generate groups in model networks}, author = {Martin Rosvall and Kim Sneppen}, url = {https://doi.org/10.1103%2Fphysreve.79.026111}, doi = {10.1103/physreve.79.026111}, year = {2009}, date = {2009-02-01}, journal = {Physical Review E}, volume = {79}, number = {2}, publisher = {American Physical Society (APS)}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Rosvall, Martin; Bergstrom, Carl T Maps of random walks on complex networks reveal community structure Journal Article Proceedings of the National Academy of Sciences, 105 (4), pp. 1118–1123, 2008. @article{Rosvall_2008, title = {Maps of random walks on complex networks reveal community structure}, author = {Martin Rosvall and Carl T Bergstrom}, url = {https://doi.org/10.1073%2Fpnas.0706851105}, doi = {10.1073/pnas.0706851105}, year = {2008}, date = {2008-01-01}, journal = {Proceedings of the National Academy of Sciences}, volume = {105}, number = {4}, pages = {1118--1123}, publisher = {Proceedings of the National Academy of Sciences}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Rosvall, Martin; Sneppen, Kim Networks and our limited information horizon Journal Article International Journal of Bifurcation and Chaos, 17 (07), pp. 2509–2515, 2007. @article{ROSVALL_2007b, title = {Networks and our limited information horizon}, author = {Martin Rosvall and Kim Sneppen}, url = {https://doi.org/10.1142%2Fs0218127407018580}, doi = {10.1142/s0218127407018580}, year = {2007}, date = {2007-07-01}, journal = {International Journal of Bifurcation and Chaos}, volume = {17}, number = {07}, pages = {2509--2515}, publisher = {World Scientific Pub Co Pte Lt}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Rosvall, Martin; Bergstrom, Carl T An information-theoretic framework for resolving community structure in complex networks Journal Article Proceedings of the National Academy of Sciences, 104 (18), pp. 7327–7331, 2007. @article{Rosvall_2007, title = {An information-theoretic framework for resolving community structure in complex networks}, author = {Martin Rosvall and Carl T Bergstrom}, url = {https://doi.org/10.1073%2Fpnas.0611034104}, doi = {10.1073/pnas.0611034104}, year = {2007}, date = {2007-04-01}, journal = {Proceedings of the National Academy of Sciences}, volume = {104}, number = {18}, pages = {7327--7331}, publisher = {Proceedings of the National Academy of Sciences}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Rosvall, Martin; Dodd, Ian B; Krishna, Sandeep; Sneppen, Kim Network models of phage-bacteria coevolution Journal Article Physical Review E, 74 (6), 2006. @article{Rosvall_2006, title = {Network models of phage-bacteria coevolution}, author = {Martin Rosvall and Ian B Dodd and Sandeep Krishna and Kim Sneppen}, url = {https://doi.org/10.1103%2Fphysreve.74.066105}, doi = {10.1103/physreve.74.066105}, year = {2006}, date = {2006-12-01}, journal = {Physical Review E}, volume = {74}, number = {6}, publisher = {American Physical Society (APS)}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Axelsen, Jacob Bock; Bernhardsson, Sebastian; Rosvall, Martin; Sneppen, Kim; Trusina, Ala Degree landscapes in scale-free networks Journal Article Physical Review E, 74 (3), 2006. @article{Axelsen_2006, title = {Degree landscapes in scale-free networks}, author = {Jacob Bock Axelsen and Sebastian Bernhardsson and Martin Rosvall and Kim Sneppen and Ala Trusina}, url = {https://doi.org/10.1103%2Fphysreve.74.036119}, doi = {10.1103/physreve.74.036119}, year = {2006}, date = {2006-09-01}, journal = {Physical Review E}, volume = {74}, number = {3}, publisher = {American Physical Society (APS)}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Rosvall, Martin; Sneppen, Kim Modeling self-organization of communication and topology in social networks Journal Article Physical Review E, 74 (1), 2006. @article{Rosvall_2006c, title = {Modeling self-organization of communication and topology in social networks}, author = {Martin Rosvall and Kim Sneppen}, url = {https://doi.org/10.1103%2Fphysreve.74.016108}, doi = {10.1103/physreve.74.016108}, year = {2006}, date = {2006-07-01}, journal = {Physical Review E}, volume = {74}, number = {1}, publisher = {American Physical Society (APS)}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Rosvall, Martin; Sneppen, Kim Self-assembly of information in networks Journal Article Europhysics Letters (EPL), 74 (6), pp. 1109–1115, 2006. @article{Rosvall_2006b, title = {Self-assembly of information in networks}, author = {Martin Rosvall and Kim Sneppen}, url = {https://doi.org/10.1209%2Fepl%2Fi2006-10064-2}, doi = {10.1209/epl/i2006-10064-2}, year = {2006}, date = {2006-06-01}, journal = {Europhysics Letters (EPL)}, volume = {74}, number = {6}, pages = {1109--1115}, publisher = {IOP Publishing}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Rosvall, Martin; Grönlund, A; Minnhagen, Petter; Sneppen, Kim Searchability of networks Journal Article Physical Review E, 72 (4), 2005. @article{Rosvall_2005, title = {Searchability of networks}, author = {Martin Rosvall and A Grönlund and Petter Minnhagen and Kim Sneppen}, url = {https://doi.org/10.1103%2Fphysreve.72.046117}, doi = {10.1103/physreve.72.046117}, year = {2005}, date = {2005-10-01}, journal = {Physical Review E}, volume = {72}, number = {4}, publisher = {American Physical Society (APS)}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Trusina, Ala; Rosvall, Martin; Sneppen, Kim Communication Boundaries in Networks Journal Article Physical Review Letters, 94 (23), 2005. @article{Trusina_2005, title = {Communication Boundaries in Networks}, author = {Ala Trusina and Martin Rosvall and Kim Sneppen}, url = {https://doi.org/10.1103%2Fphysrevlett.94.238701}, doi = {10.1103/physrevlett.94.238701}, year = {2005}, date = {2005-06-01}, journal = {Physical Review Letters}, volume = {94}, number = {23}, publisher = {American Physical Society (APS)}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Rosvall, Martin; Minnhagen, Petter; Sneppen, Kim Navigating networks with limited information Journal Article Physical Review E, 71 (6), 2005. @article{Rosvall_2005b, title = {Navigating networks with limited information}, author = {Martin Rosvall and Petter Minnhagen and Kim Sneppen}, url = {https://doi.org/10.1103%2Fphysreve.71.066111}, doi = {10.1103/physreve.71.066111}, year = {2005}, date = {2005-06-01}, journal = {Physical Review E}, volume = {71}, number = {6}, publisher = {American Physical Society (APS)}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Sneppen, Kim; Trusina, Ala; Rosvall, Martin Measuring information networks Journal Article Pramana, 64 (6), pp. 1121–1125, 2005. @article{Sneppen_2005b, title = {Measuring information networks}, author = {Kim Sneppen and Ala Trusina and Martin Rosvall}, url = {https://doi.org/10.1007%2Fbf02704173}, doi = {10.1007/bf02704173}, year = {2005}, date = {2005-06-01}, journal = {Pramana}, volume = {64}, number = {6}, pages = {1121--1125}, publisher = {Springer Nature}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
From flows of money between banks or ideas among scientists to pandemic outbreaks and range shifts of species, Martin Rosvall’s research focuses on developing methods for revealing the inner workings of interconnected systems to answer questions in various areas of science.
Martin was born in Uppsala and grew up north of Umeå. He went to a high school for cross-country skiing in Lycksele before his undergraduate in engineering physics. After his Ph.D. in network science at the Niels Bohr Institute in Copenhagen, Martin moved to the Department of Biology at the University of Washington in Seattle for his postdoc. There he started working on a grand challenge in network science: how to simplify and highlight essential regularities in networks into maps. Mapping networks is a holy grail of data science because in the myriad links and nodes of a network hide answers to how we can predict how the system will evolve.
From 2009 at Umeå University, Martin has continued to develop and integrate new math, algorithms, and visualizations into powerful mapping tools for efficiently going from interaction data to insightful maps, new hypotheses, and unexpected discoveries. With a thriving research group in IceLab and a growing collaboration network, the applications now extend across both the natural and social sciences.
As a professional power napper, Martin’s favorite place in IceLab after lunch is a hidden couch.
Martin lives between the university and the ski trails with his wife Marie Halén and their two daughters born in 2014 and 2018. When he is not playing with his family, you will find him increasing his dopamine levels on cross-country skis.
In 2014 Martin received the Nordea Science Prize and in 2018 the Young Scientist Award for Socio- and Econophysics.
Map Equation
Martin Rosvall’s site MapEquation.org houses a number of applications based on the map equation.
InfoBaleen
Infobaleen allows you to effortlessly sift knowledge from oceans of data and turn it into valuable actions. Martin Rosvall is a founding member of this promising start up company.
The Latest Posts
Check out the latest updates by this IceLabber here
Rare species survive in ghettos
Species of animals and plants with low abundances organize in ghettos to survive Similar to the organization of human cities, animal and plant communities have ghettos or ethnic neighborhoods, where low-abundant species group to enhance their persistence against more competitive species. This [...]
Hive Talk Board: Information games for squirrels with Martin Rosvall
Information games for squirrels with Martin Rosvall Hive Talk Snippet Martin presented a class of information games that include popular board games such as Clue and Battleship. In these games, players compete to uncover information but they must be careful not to reveal too much [...]
Duty before all?
Duty before all? by Martin Rosvall "So, you are on your way home? When I was at your age, I never went home until eight o'clock!" It was only five o'clock when the white-haired professor lectured us in the elevator heading down to the entrance [...]
IceLab’s First Lunch Pitch
Coverage of IceLab's first Lunch Pitch In order to promote meetings between researchers from different institutions and disciplines, Icelab organizes multidisciplinary research presentations with the vision of letting ideas grow and new collaborations arise. The first lunch pitch was held November 14th, 2015, with Martin [...]
Memory in Network Flows
Memory in network flows and its effects on spreading dynamics and community detection The problem In today's connected world, pressing problems call for efficient mapping and modeling of flow pathways – for example how information, people, and different species move through social and biological systems. [...]