{"id":"https://openalex.org/W2330006570","doi":"https://doi.org/10.1093/comnet/cnt018","title":"Identifying influential edges in a directed network: big events, upsets and non-transitivity","display_name":"Identifying influential edges in a directed network: big events, upsets and non-transitivity","publication_year":2013,"publication_date":"2013-12-06","ids":{"openalex":"https://openalex.org/W2330006570","doi":"https://doi.org/10.1093/comnet/cnt018","mag":"2330006570"},"language":"en","primary_location":{"id":"doi:10.1093/comnet/cnt018","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comnet/cnt018","pdf_url":null,"source":{"id":"https://openalex.org/S2531583244","display_name":"Journal of Complex Networks","issn_l":"2051-1310","issn":["2051-1310","2051-1329"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Complex Networks","raw_type":"journal-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/A5075015473","display_name":"Michael W. Berry","orcid":"https://orcid.org/0000-0002-9191-9148"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. W. Berry","raw_affiliation_strings":["University of Tennessee, Knoxville, TN 37996, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tennessee, Knoxville, TN 37996, USA","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026148848","display_name":"Timothy P. Chartier","orcid":null},"institutions":[{"id":"https://openalex.org/I141720752","display_name":"Davidson College","ror":"https://ror.org/02f7k4z58","country_code":"US","type":"education","lineage":["https://openalex.org/I141720752"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"T. P. Chartier","raw_affiliation_strings":["Davidson College, Davidson, NC 28035, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Davidson College, Davidson, NC 28035, USA","institution_ids":["https://openalex.org/I141720752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023467107","display_name":"K. R. Hutson","orcid":null},"institutions":[{"id":"https://openalex.org/I86115722","display_name":"Furman University","ror":"https://ror.org/04ytb9n23","country_code":"US","type":"education","lineage":["https://openalex.org/I86115722"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"K. R. Hutson","raw_affiliation_strings":["Furman University, Greenville, SC 29613, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Furman University, Greenville, SC 29613, USA","institution_ids":["https://openalex.org/I86115722"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005284404","display_name":"Amy N. Langville","orcid":"https://orcid.org/0000-0001-7689-4061"},"institutions":[{"id":"https://openalex.org/I204593131","display_name":"College of Charleston","ror":"https://ror.org/00390t168","country_code":"US","type":"education","lineage":["https://openalex.org/I204593131"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"A. N. Langville","raw_affiliation_strings":["College of Charleston, Charleston, SC 29401, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Charleston, Charleston, SC 29401, USA","institution_ids":["https://openalex.org/I204593131"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5005284404"],"corresponding_institution_ids":["https://openalex.org/I204593131"],"apc_list":{"value":4151,"currency":"USD","value_usd":4151},"apc_paid":null,"fwci":0.4889,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.68552707,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2","issue":"2","first_page":"87","last_page":"109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":1.0,"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"}},{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/betweenness-centrality","display_name":"Betweenness centrality","score":0.9098926782608032},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7246339321136475},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.5673540234565735},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5492340922355652},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5388035774230957},{"id":"https://openalex.org/keywords/network-science","display_name":"Network science","score":0.5276528596878052},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5079255700111389},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.49318236112594604},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4901619851589203},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48234647512435913},{"id":"https://openalex.org/keywords/transitive-relation","display_name":"Transitive relation","score":0.47961270809173584},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4625709652900696},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.45559123158454895},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.44102850556373596},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4194452166557312},{"id":"https://openalex.org/keywords/subdivision","display_name":"Subdivision","score":0.41891559958457947},{"id":"https://openalex.org/keywords/network-analysis","display_name":"Network analysis","score":0.41395992040634155},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.37911033630371094},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30343037843704224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2650405168533325},{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.233210027217865},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15609771013259888},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08644917607307434},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.08338615298271179}],"concepts":[{"id":"https://openalex.org/C117045392","wikidata":"https://www.wikidata.org/wiki/Q4899215","display_name":"Betweenness centrality","level":3,"score":0.9098926782608032},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7246339321136475},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.5673540234565735},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5492340922355652},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5388035774230957},{"id":"https://openalex.org/C137753397","wikidata":"https://www.wikidata.org/wiki/Q2434424","display_name":"Network science","level":3,"score":0.5276528596878052},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5079255700111389},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.49318236112594604},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4901619851589203},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48234647512435913},{"id":"https://openalex.org/C191399111","wikidata":"https://www.wikidata.org/wiki/Q64861","display_name":"Transitive relation","level":2,"score":0.47961270809173584},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4625709652900696},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.45559123158454895},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.44102850556373596},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4194452166557312},{"id":"https://openalex.org/C143392562","wikidata":"https://www.wikidata.org/wiki/Q449111","display_name":"Subdivision","level":2,"score":0.41891559958457947},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.41395992040634155},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.37911033630371094},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30343037843704224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2650405168533325},{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.233210027217865},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15609771013259888},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08644917607307434},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08338615298271179},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1093/comnet/cnt018","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comnet/cnt018","pdf_url":null,"source":{"id":"https://openalex.org/S2531583244","display_name":"Journal of Complex Networks","issn_l":"2051-1310","issn":["2051-1310","2051-1329"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Complex Networks","raw_type":"journal-article"},{"id":"pmh:oai:open-archive.highwire.org:comnet:2/2/87","is_oa":false,"landing_page_url":"http://comnet.oxfordjournals.org/cgi/content/short/2/2/87","pdf_url":null,"source":{"id":"https://openalex.org/S4406923041","display_name":"HighWire Press Open Archive","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"TEXT"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306151","display_name":"Alfred P. Sloan Foundation","ror":"https://ror.org/052csg198"},{"id":"https://openalex.org/F4320313720","display_name":"National Collegiate Athletic Association","ror":"https://ror.org/014cfdh55"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1671906456","https://openalex.org/W1971937094","https://openalex.org/W1996186208","https://openalex.org/W1999634786","https://openalex.org/W2043690777","https://openalex.org/W2056944867","https://openalex.org/W2079196839","https://openalex.org/W2093882311","https://openalex.org/W2095512455","https://openalex.org/W2147237667","https://openalex.org/W2171707538","https://openalex.org/W3105870547","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2122317242","https://openalex.org/W2186710387","https://openalex.org/W2229900507","https://openalex.org/W2166456073","https://openalex.org/W4225983573","https://openalex.org/W3192043023","https://openalex.org/W3136764427","https://openalex.org/W3099227636","https://openalex.org/W2756123185","https://openalex.org/W2379664873"],"abstract_inverted_index":{"Networks":[0],"model":[1],"complex":[2],"systems":[3,16],"from":[4,14,84],"a":[5,31,49,72,151],"wide":[6],"range":[7],"of":[8,23,26,30,36,48,58,88,95,115,123,127,145,168],"applications.":[9],"Methods":[10],"that":[11,67],"extract":[12],"information":[13],"such":[15,21,56],"are":[17,110,157,171],"important":[18],"tools":[19],"in":[20,43,55,71,91,139],"fields":[22],"study.":[24],"One":[25],"the":[27,34,37,44,77,92,101,121,125,140,143,146,160,164,169],"well-studied":[28],"aspects":[29],"network":[32,141],"is":[33],"concept":[35],"most":[38],"influential":[39,69],"or":[40],"powerful":[41],"node":[42,118],"network.":[45,73],"The":[46,74,112,129,155],"edges":[47,70],"graph":[50],"can":[51],"exert":[52],"great":[53],"influence":[54],"measures":[57,109,116,119],"nodal":[59],"power.":[60],"In":[61],"this":[62],"paper,":[63],"we":[64],"propose":[65],"methods":[66,79,156,170],"identify":[68],"paper":[75],"uses":[76],"proposed":[78],"to":[80,120,137,159],"analyse":[81],"two":[82],"networks":[83,162],"disparate":[85],"applications\u2014win\u2013loss":[86],"data":[87],"teams":[89],"competing":[90],"2011":[93],"season":[94],"NCAA":[96],"Football":[97],"Bowl":[98],"Subdivision":[99],"and":[100,142,163,166,173],"2001":[102],"Enron":[103],"employee":[104],"email":[105],"dataset.":[106],"Several":[107],"edge":[108],"proposed.":[111],"first":[113],"set":[114,131],"adapt":[117],"context":[122],"analysing":[124],"importance":[126],"edges.":[128],"second":[130],"include":[132],"measuring":[133],"betweenness,":[134],"rank":[135],"sensitivity":[136,144],"perturbations":[138],"ranking":[147],"as":[148],"measured":[149],"by":[150],"linear":[152],"programme":[153],"formulation.":[154],"applied":[158],"aforementioned":[161],"benefits":[165],"appropriateness":[167],"discussed":[172],"contrasted.":[174]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}