{"id":"https://openalex.org/W4387459422","doi":"https://doi.org/10.1140/epjds/s13688-023-00411-8","title":"The structure of segregation in co-authorship networks and its impact on scientific production","display_name":"The structure of segregation in co-authorship networks and its impact on scientific production","publication_year":2023,"publication_date":"2023-10-09","ids":{"openalex":"https://openalex.org/W4387459422","doi":"https://doi.org/10.1140/epjds/s13688-023-00411-8"},"language":"en","primary_location":{"id":"doi:10.1140/epjds/s13688-023-00411-8","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-023-00411-8","pdf_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-023-00411-8","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-023-00411-8","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002514630","display_name":"Ana M. Jaramillo","orcid":"https://orcid.org/0000-0003-2409-3064"},"institutions":[{"id":"https://openalex.org/I23923803","display_name":"University of Exeter","ror":"https://ror.org/03yghzc09","country_code":"GB","type":"education","lineage":["https://openalex.org/I23923803"]},{"id":"https://openalex.org/I4210112164","display_name":"Complexity Science Hub","ror":"https://ror.org/023dz9m50","country_code":"AT","type":"nonprofit","lineage":["https://openalex.org/I4210112164"]}],"countries":["AT","GB"],"is_corresponding":true,"raw_author_name":"Ana Maria Jaramillo","raw_affiliation_strings":["BioComplex Laboratory, Department of Computer Science, University of Exeter, Exeter, UK","Complexity Science Hub, Vienna, Austria"],"raw_orcid":"https://orcid.org/0000-0003-2409-3064","affiliations":[{"raw_affiliation_string":"BioComplex Laboratory, Department of Computer Science, University of Exeter, Exeter, UK","institution_ids":["https://openalex.org/I23923803"]},{"raw_affiliation_string":"Complexity Science Hub, Vienna, Austria","institution_ids":["https://openalex.org/I4210112164"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029718403","display_name":"Hywel T. P. Williams","orcid":"https://orcid.org/0000-0002-5927-3367"},"institutions":[{"id":"https://openalex.org/I23923803","display_name":"University of Exeter","ror":"https://ror.org/03yghzc09","country_code":"GB","type":"education","lineage":["https://openalex.org/I23923803"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hywel T. P. Williams","raw_affiliation_strings":["SEDA Lab, Department of Computer Science, University of Exeter, Exeter, UK"],"raw_orcid":"https://orcid.org/0000-0002-5927-3367","affiliations":[{"raw_affiliation_string":"SEDA Lab, Department of Computer Science, University of Exeter, Exeter, UK","institution_ids":["https://openalex.org/I23923803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031799782","display_name":"Nicola Perra","orcid":"https://orcid.org/0000-0002-5559-3064"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nicola Perra","raw_affiliation_strings":["School of Mathematical Sciences, Queen Mary University of London, London, UK"],"raw_orcid":"https://orcid.org/0000-0002-5559-3064","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Queen Mary University of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068151130","display_name":"Ronaldo Menezes","orcid":"https://orcid.org/0000-0002-6479-6429"},"institutions":[{"id":"https://openalex.org/I23923803","display_name":"University of Exeter","ror":"https://ror.org/03yghzc09","country_code":"GB","type":"education","lineage":["https://openalex.org/I23923803"]},{"id":"https://openalex.org/I243754102","display_name":"Universidade Federal do Cear\u00e1","ror":"https://ror.org/03srtnf24","country_code":"BR","type":"education","lineage":["https://openalex.org/I243754102"]}],"countries":["BR","GB"],"is_corresponding":false,"raw_author_name":"Ronaldo Menezes","raw_affiliation_strings":["BioComplex Laboratory, Department of Computer Science, University of Exeter, Exeter, UK","Department of Computer Science, Federal University of Cear\u00e1, Fortaleza, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-6479-6429","affiliations":[{"raw_affiliation_string":"BioComplex Laboratory, Department of Computer Science, University of Exeter, Exeter, UK","institution_ids":["https://openalex.org/I23923803"]},{"raw_affiliation_string":"Department of Computer Science, Federal University of Cear\u00e1, Fortaleza, Brazil","institution_ids":["https://openalex.org/I243754102"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5002514630"],"corresponding_institution_ids":["https://openalex.org/I23923803","https://openalex.org/I4210112164"],"apc_list":{"value":1190,"currency":"GBP","value_usd":1459},"apc_paid":{"value":1190,"currency":"GBP","value_usd":1459},"fwci":1.1031,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.76059911,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"12","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9984999895095825,"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":0.9984999895095825,"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/T10102","display_name":"scientometrics and bibliometrics research","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11239","display_name":"Social Capital and Networks","score":0.939300000667572,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.53590327501297},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.5309293866157532},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.500401496887207},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.49312159419059753},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4774478077888489},{"id":"https://openalex.org/keywords/community-structure","display_name":"Community structure","score":0.47627943754196167},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4524655342102051},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.439893513917923},{"id":"https://openalex.org/keywords/preferential-attachment","display_name":"Preferential attachment","score":0.4315851330757141},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.41422808170318604},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.4100732207298279},{"id":"https://openalex.org/keywords/economic-geography","display_name":"Economic geography","score":0.33426424860954285},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.21955052018165588},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.18844705820083618},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18521597981452942},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17925480008125305},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13907471299171448},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1332876980304718},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.0894172191619873},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.08401226997375488}],"concepts":[{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.53590327501297},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.5309293866157532},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.500401496887207},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.49312159419059753},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4774478077888489},{"id":"https://openalex.org/C133079900","wikidata":"https://www.wikidata.org/wiki/Q5155065","display_name":"Community structure","level":2,"score":0.47627943754196167},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4524655342102051},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.439893513917923},{"id":"https://openalex.org/C2780600066","wikidata":"https://www.wikidata.org/wiki/Q7239828","display_name":"Preferential attachment","level":3,"score":0.4315851330757141},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.41422808170318604},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.4100732207298279},{"id":"https://openalex.org/C26271046","wikidata":"https://www.wikidata.org/wiki/Q187097","display_name":"Economic geography","level":1,"score":0.33426424860954285},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.21955052018165588},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.18844705820083618},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18521597981452942},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17925480008125305},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13907471299171448},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1332876980304718},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0894172191619873},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.08401226997375488},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1140/epjds/s13688-023-00411-8","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-023-00411-8","pdf_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-023-00411-8","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5e72742d9f234bccb6e808599f3f891a","is_oa":true,"landing_page_url":"https://doaj.org/article/5e72742d9f234bccb6e808599f3f891a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EPJ Data Science, Vol 12, Iss 1, Pp 1-15 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1140/epjds/s13688-023-00411-8","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-023-00411-8","pdf_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-023-00411-8","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G4143515985","display_name":null,"funder_award_id":"W911NF-18-1-0421","funder_id":"https://openalex.org/F4320338456","funder_display_name":"DEVCOM Army Research Laboratory"},{"id":"https://openalex.org/G7452299184","display_name":null,"funder_award_id":"W911NF","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G75268663","display_name":null,"funder_award_id":"W911NF-18-1-0421","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"},{"id":"https://openalex.org/F4320338456","display_name":"DEVCOM Army Research Laboratory","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387459422.pdf"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W204885769","https://openalex.org/W1522962854","https://openalex.org/W1971421925","https://openalex.org/W1988656859","https://openalex.org/W2015953751","https://openalex.org/W2029130073","https://openalex.org/W2033745439","https://openalex.org/W2041312511","https://openalex.org/W2050990045","https://openalex.org/W2057850395","https://openalex.org/W2095293504","https://openalex.org/W2122309512","https://openalex.org/W2125064750","https://openalex.org/W2132202037","https://openalex.org/W2133386222","https://openalex.org/W2149055390","https://openalex.org/W2150607630","https://openalex.org/W2155291925","https://openalex.org/W2181918137","https://openalex.org/W2183515712","https://openalex.org/W2296160973","https://openalex.org/W2487443737","https://openalex.org/W2531704654","https://openalex.org/W2765658614","https://openalex.org/W2793071066","https://openalex.org/W2805928245","https://openalex.org/W2884571392","https://openalex.org/W2890436397","https://openalex.org/W2891392898","https://openalex.org/W2900227103","https://openalex.org/W2902466552","https://openalex.org/W2913773162","https://openalex.org/W2944847621","https://openalex.org/W2951271819","https://openalex.org/W2963908320","https://openalex.org/W2976257255","https://openalex.org/W3004300542","https://openalex.org/W3012996519","https://openalex.org/W3015453090","https://openalex.org/W3027424456","https://openalex.org/W3081047394","https://openalex.org/W3101288630","https://openalex.org/W3102429303","https://openalex.org/W3122317004","https://openalex.org/W3123726009","https://openalex.org/W3126033509","https://openalex.org/W3138995405","https://openalex.org/W3212967637","https://openalex.org/W4211050138","https://openalex.org/W4255772777"],"related_works":["https://openalex.org/W1511401140","https://openalex.org/W2034220069","https://openalex.org/W2088554646","https://openalex.org/W2006852656","https://openalex.org/W11097679","https://openalex.org/W2948079051","https://openalex.org/W2133614729","https://openalex.org/W2980465164","https://openalex.org/W2803128880","https://openalex.org/W3102058415"],"abstract_inverted_index":{"Abstract":[0],"Co-authorship":[1],"networks,":[2],"where":[3],"nodes":[4],"represent":[5,9],"authors":[6],"and":[7,18,28,30,40,68,83,94,104,109,114,134,199,235,242,255,267],"edges":[8],"co-authorship":[10,42,61,233],"relations,":[11],"are":[12,146],"key":[13],"to":[14,44,56,66,101,149,162,165,228,263],"understanding":[15],"the":[16,60,78,102,140,153,157,166,218,226,237,258,265],"production":[17],"diffusion":[19],"of":[20,52,59,121,180,252,269],"knowledge":[21],"in":[22,132,139,173,185,196,205,209,217,232],"academia.":[23],"Social":[24],"constructs,":[25],"biases":[26],"(implicit":[27],"explicit),":[29],"constraints":[31],"(e.g.":[32],"spatial,":[33],"temporal)":[34],"affect":[35],"who":[36],"works":[37],"with":[38,49],"whom":[39],"cause":[41],"networks":[43,234],"organise":[45],"into":[46],"tight":[47],"communities":[48,120,145,179,188,211,251],"different":[50,181],"levels":[51],"segregation.":[53],"We":[54,74,97],"aim":[55],"examine":[57],"aspects":[58],"network":[62,154,167],"structure":[63],"that":[64],"lead":[65],"segregation":[67,76,182,231,241],"its":[69],"impact":[70],"on":[71],"scientific":[72,253,270],"production.":[73],"measure":[75],"using":[77],"Spectral":[79],"Segregation":[80],"Index":[81],"(SSI)":[82],"find":[84],"four":[85],"ordered":[86],"categories:":[87],"completely":[88],"segregated,":[89,91],"highly":[90,105,158,186,249],"moderately":[92],"segregated":[93,106,159,187,250],"non-segregated":[95,103,144,210],"communities.":[96],"direct":[98],"our":[99,127,221],"attention":[100],"communities,":[107],"quantifying":[108],"comparing":[110],"their":[111,193],"structural":[112],"topologies":[113],"k":[115],"-core":[116],"positions.":[117],"When":[118],"considering":[119],"both":[122],"categories":[123],"(controlling":[124],"for":[125,260],"size),":[126],"results":[128,246],"show":[129],"no":[130],"differences":[131,172],"density":[133],"clustering":[135],"but":[136],"substantial":[137],"variability":[138],"core":[141],"position.":[142],"Larger":[143],"more":[147,190,201,213],"likely":[148],"occupy":[150],"cores":[151,198],"near":[152],"nucleus,":[155],"while":[156],"ones":[160],"tend":[161],"be":[163],"closer":[164],"periphery.":[168],"Finally,":[169],"we":[170],"analyse":[171],"citations":[174,191,202,214],"gained":[175],"by":[176],"researchers":[177],"within":[178],"categories.":[183],"Researchers":[184],"get":[189,212],"from":[192],"community":[194,230,240],"members":[195],"middle":[197],"gain":[200],"per":[203,215],"publication":[204,216],"middle/periphery":[206],"cores.":[207],"Those":[208],"nucleus.":[219],"To":[220],"knowledge,":[222],"this":[223],"work":[224],"is":[225],"first":[227],"characterise":[229],"investigate":[236],"relationship":[238],"between":[239],"author":[243],"citations.":[244],"Our":[245],"help":[247],"study":[248],"co-authors":[254],"can":[256],"pave":[257],"way":[259],"intervention":[261],"strategies":[262],"improve":[264],"growth":[266],"dissemination":[268],"knowledge.":[271]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
