{"id":"https://openalex.org/W2146916979","doi":"https://doi.org/10.1109/isbi.2011.5872594","title":"Partitioning directed graphs based on modularity and information flow","display_name":"Partitioning directed graphs based on modularity and information flow","publication_year":2011,"publication_date":"2011-03-01","ids":{"openalex":"https://openalex.org/W2146916979","doi":"https://doi.org/10.1109/isbi.2011.5872594","mag":"2146916979"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2011.5872594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2011.5872594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101758877","display_name":"Yu-Teng Chang","orcid":"https://orcid.org/0000-0002-3216-6916"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yu-Teng Chang","raw_affiliation_strings":["Signal & Image Processing Institute, University of Southern California, Los Angeles, CA, USA","Signal and Image Processing Institute, University of Southern California, Los Angeles 90089-2564, USA"],"affiliations":[{"raw_affiliation_string":"Signal & Image Processing Institute, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Signal and Image Processing Institute, University of Southern California, Los Angeles 90089-2564, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030177736","display_name":"Dimitrios Pantazis","orcid":"https://orcid.org/0000-0001-8246-8878"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dimitrios Pantazis","raw_affiliation_strings":["Signal & Image Processing Institute, University of Southern California, Los Angeles, CA, USA","Signal and Image Processing Institute, University of Southern California, Los Angeles 90089-2564, USA"],"affiliations":[{"raw_affiliation_string":"Signal & Image Processing Institute, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Signal and Image Processing Institute, University of Southern California, Los Angeles 90089-2564, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054387045","display_name":"Richard M. Leahy","orcid":"https://orcid.org/0000-0002-7278-5471"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Richard M. Leahy","raw_affiliation_strings":["Signal & Image Processing Institute, University of Southern California, Los Angeles, CA, USA","Signal and Image Processing Institute, University of Southern California, Los Angeles 90089-2564, USA"],"affiliations":[{"raw_affiliation_string":"Signal & Image Processing Institute, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Signal and Image Processing Institute, University of Southern California, Los Angeles 90089-2564, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101758877"],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":0.1374,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.52227743,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1105","last_page":"1108"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7383708953857422},{"id":"https://openalex.org/keywords/modularity","display_name":"Modularity (biology)","score":0.7210180759429932},{"id":"https://openalex.org/keywords/information-flow","display_name":"Information flow","score":0.6310842037200928},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.6047021150588989},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5942456722259521},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.47985953092575073},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.4541782736778259},{"id":"https://openalex.org/keywords/community-structure","display_name":"Community structure","score":0.41987326741218567},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39568957686424255},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1706344187259674}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7383708953857422},{"id":"https://openalex.org/C2779478453","wikidata":"https://www.wikidata.org/wiki/Q6889748","display_name":"Modularity (biology)","level":2,"score":0.7210180759429932},{"id":"https://openalex.org/C2779136372","wikidata":"https://www.wikidata.org/wiki/Q10283002","display_name":"Information flow","level":2,"score":0.6310842037200928},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.6047021150588989},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5942456722259521},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.47985953092575073},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.4541782736778259},{"id":"https://openalex.org/C133079900","wikidata":"https://www.wikidata.org/wiki/Q5155065","display_name":"Community structure","level":2,"score":0.41987326741218567},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39568957686424255},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1706344187259674},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2011.5872594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2011.5872594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2029341247","https://openalex.org/W2044881936","https://openalex.org/W2063251739","https://openalex.org/W2084009541","https://openalex.org/W2095293504","https://openalex.org/W2098490603","https://openalex.org/W2118232570","https://openalex.org/W2130776740","https://openalex.org/W2131530280","https://openalex.org/W2146032289","https://openalex.org/W2151936673","https://openalex.org/W2159929956","https://openalex.org/W2161455936"],"related_works":["https://openalex.org/W2349859869","https://openalex.org/W2362940594","https://openalex.org/W2153048426","https://openalex.org/W2079295974","https://openalex.org/W4245135119","https://openalex.org/W1681823257","https://openalex.org/W3114311606","https://openalex.org/W1917559760","https://openalex.org/W2570739995","https://openalex.org/W2011882979"],"abstract_inverted_index":{"Although":[0],"models":[1],"of":[2,5,46,75,99],"the":[3,15,42,71,96,106],"behavior":[4],"individual":[6],"neurons":[7],"and":[8,40,65,73,102],"synapses":[9],"are":[10,92],"now":[11],"well":[12],"established,":[13],"understanding":[14],"way":[16],"in":[17,21],"which":[18],"they":[19],"cooperate":[20],"large":[22,47],"ensembles":[23],"remains":[24],"a":[25,53,81],"major":[26],"scientific":[27],"challenge.":[28],"We":[29,78],"present":[30,52],"two":[31],"novel":[32],"graph":[33],"theory":[34],"methods":[35,91],"to":[36,56,83,94],"study":[37,95],"cortical":[38],"interactions":[39],"image":[41],"highly":[43],"organized":[44],"structure":[45,98],"scale":[48],"networks.":[49],"First,":[50],"we":[51],"new":[54],"method":[55,82],"partition":[57],"directed":[58],"graphs":[59,85],"into":[60],"modules,":[61],"based":[62,86],"on":[63,70,87],"modularity":[64],"an":[66],"expected":[67],"network":[68],"conditioned":[69],"in-":[72],"out-degrees":[74],"all":[76],"nodes.":[77],"also":[79],"propose":[80],"segment":[84],"information":[88,103],"flow.":[89],"These":[90],"combined":[93],"community":[97],"brain":[100],"networks":[101],"flow":[104],"within":[105],"modules.":[107]},"counts_by_year":[{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}