%0 Journal Article %1 Rosvall2007Maps %A Rosvall, M. %A Bergstrom, C. T. %D 2007 %I National Academy of Sciences %J Proceedings of the National Academy of Sciences %K random\_walks networks clustering communities collaboration-networks %N 4 %P 1118--1123 %R 10.1073/pnas.0706851105 %T Maps of random walks on complex networks reveal community structure %U http://dx.doi.org/10.1073/pnas.0706851105 %V 105 %X To comprehend the multipartite organization of large-scale biological and social systems, we introduce a new information theoretic approach that reveals community structure in weighted and directed networks. The method decomposes a network into modules by optimally compressing a description of information flows on the network. The result is a map that both simplifies and highlights the regularities in the structure and their relationships. We illustrate the method by making a map of scientific communication as captured in the citation patterns of more than 6000 journals. We discover a multicentric organization with fields that vary dramatically in size and degree of integration into the network of science. Along the backbone of the network -- including physics, chemistry, molecular biology, and medicine -- information flows bidirectionally, but the map reveals a directional pattern of citation from the applied fields to the basic sciences.

@article{Rosvall2007Maps, abstract = {{To comprehend the multipartite organization of large-scale biological and social systems, we introduce a new information theoretic approach that reveals community structure in weighted and directed networks. The method decomposes a network into modules by optimally compressing a description of information flows on the network. The result is a map that both simplifies and highlights the regularities in the structure and their relationships. We illustrate the method by making a map of scientific communication as captured in the citation patterns of more than 6000 journals. We discover a multicentric organization with fields that vary dramatically in size and degree of integration into the network of science. Along the backbone of the network -- including physics, chemistry, molecular biology, and medicine -- information flows bidirectionally, but the map reveals a directional pattern of citation from the applied fields to the basic sciences.}}, added-at = {2019-06-10T14:53:09.000+0200}, archiveprefix = {arXiv}, author = {Rosvall, M. and Bergstrom, C. T.}, biburl = {https://www.bibsonomy.org/bibtex/2d9d40c6dc8f72171e19ebe202174d166/nonancourt}, citeulike-article-id = {2283763}, citeulike-linkout-0 = {http://arxiv.org/abs/0707.0609}, citeulike-linkout-1 = {http://arxiv.org/pdf/0707.0609}, citeulike-linkout-2 = {http://dx.doi.org/10.1073/pnas.0706851105}, citeulike-linkout-3 = {http://www.pnas.org/content/105/4/1118.abstract}, citeulike-linkout-4 = {http://www.pnas.org/content/105/4/1118.full.pdf}, citeulike-linkout-5 = {http://www.pnas.org/cgi/content/abstract/105/4/1118}, citeulike-linkout-6 = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2234100/}, citeulike-linkout-7 = {http://view.ncbi.nlm.nih.gov/pubmed/18216267}, citeulike-linkout-8 = {http://www.hubmed.org/display.cgi?uids=18216267}, day = 12, doi = {10.1073/pnas.0706851105}, eprint = {0707.0609}, interhash = {73a98c601994f393a9c89ec25d9a5397}, intrahash = {d9d40c6dc8f72171e19ebe202174d166}, issn = {1091-6490}, journal = {Proceedings of the National Academy of Sciences}, keywords = {random\_walks networks clustering communities collaboration-networks}, month = nov, number = 4, pages = {1118--1123}, pmcid = {PMC2234100}, pmid = {18216267}, posted-at = {2009-10-07 11:40:32}, priority = {2}, publisher = {National Academy of Sciences}, timestamp = {2019-08-26T11:19:23.000+0200}, title = {{Maps of random walks on complex networks reveal community structure}}, url = {http://dx.doi.org/10.1073/pnas.0706851105}, volume = 105, year = 2007 }