{"id":"https://openalex.org/W7134959731","doi":"https://doi.org/10.1109/icdmw69685.2025.00022","title":"Modeling Network Formation with LLM Agents: The Role of Demographics and Personality","display_name":"Modeling Network Formation with LLM Agents: The Role of Demographics and Personality","publication_year":2025,"publication_date":"2025-11-12","ids":{"openalex":"https://openalex.org/W7134959731","doi":"https://doi.org/10.1109/icdmw69685.2025.00022"},"language":null,"primary_location":{"id":"doi:10.1109/icdmw69685.2025.00022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw69685.2025.00022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Data Mining Workshops (ICDMW)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5076512145","display_name":"Christos Gkartzios","orcid":"https://orcid.org/0009-0000-5168-8173"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Christos Gkartzios","raw_affiliation_strings":["University of Ioannina,Department of Computer Science &#x0026; Engineering,Ioannina,Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ioannina,Department of Computer Science &#x0026; Engineering,Ioannina,Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047515620","display_name":"Evaggelia Pitoura","orcid":"https://orcid.org/0000-0002-3775-4995"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Evaggelia Pitoura","raw_affiliation_strings":["University of Ioannina,Department of Computer Science &#x0026; Engineering,Ioannina,Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ioannina,Department of Computer Science &#x0026; Engineering,Ioannina,Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066962453","display_name":"Panayiotis Tsaparas","orcid":"https://orcid.org/0000-0002-3490-1507"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Panayiotis Tsaparas","raw_affiliation_strings":["University of Ioannina,Department of Computer Science &#x0026; Engineering,Ioannina,Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ioannina,Department of Computer Science &#x0026; Engineering,Ioannina,Greece","institution_ids":["https://openalex.org/I194019607"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I194019607"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.72334392,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"137","last_page":"146"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.08139999955892563,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.08139999955892563,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.0649000033736229,"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/T12594","display_name":"Collaboration in agile enterprises","score":0.026900000870227814,"subfield":{"id":"https://openalex.org/subfields/1405","display_name":"Management of Technology and Innovation"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/personality","display_name":"Personality","score":0.5684000253677368},{"id":"https://openalex.org/keywords/demographics","display_name":"Demographics","score":0.45249998569488525},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.30979999899864197},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.290800005197525},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.2743000090122223},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.27149999141693115}],"concepts":[{"id":"https://openalex.org/C187288502","wikidata":"https://www.wikidata.org/wiki/Q641118","display_name":"Personality","level":2,"score":0.5684000253677368},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.5679000020027161},{"id":"https://openalex.org/C2780084366","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demographics","level":2,"score":0.45249998569488525},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.41659998893737793},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.3416000008583069},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.30979999899864197},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.29260000586509705},{"id":"https://openalex.org/C75630572","wikidata":"https://www.wikidata.org/wiki/Q538904","display_name":"Applied psychology","level":1,"score":0.2921999990940094},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.290800005197525},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2743000090122223},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.27149999141693115},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.26809999346733093},{"id":"https://openalex.org/C2988224531","wikidata":"https://www.wikidata.org/wiki/Q20830730","display_name":"Network structure","level":2,"score":0.25380000472068787},{"id":"https://openalex.org/C2865642","wikidata":"https://www.wikidata.org/wiki/Q378132","display_name":"Big Five personality traits","level":3,"score":0.25220000743865967}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdmw69685.2025.00022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw69685.2025.00022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Data Mining Workshops (ICDMW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","score":0.4334681034088135,"display_name":"Gender equality"}],"awards":[{"id":"https://openalex.org/G4483793838","display_name":null,"funder_award_id":"20770","funder_id":"https://openalex.org/F4320327859","funder_display_name":"Hellenic Foundation for Research and Innovation"}],"funders":[{"id":"https://openalex.org/F4320327859","display_name":"Hellenic Foundation for Research and Innovation","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W567313566","https://openalex.org/W1814023381","https://openalex.org/W1978706036","https://openalex.org/W2008620264","https://openalex.org/W2033193852","https://openalex.org/W2047940964","https://openalex.org/W2078483536","https://openalex.org/W2093955145","https://openalex.org/W2095293504","https://openalex.org/W2096533706","https://openalex.org/W2109469951","https://openalex.org/W2110181077","https://openalex.org/W2112090702","https://openalex.org/W2124100711","https://openalex.org/W2130354913","https://openalex.org/W2145167064","https://openalex.org/W2153204928","https://openalex.org/W2330055266","https://openalex.org/W2765195368","https://openalex.org/W2904938210","https://openalex.org/W2963321544","https://openalex.org/W3045153201","https://openalex.org/W4221150275","https://openalex.org/W4238452917","https://openalex.org/W4296037511","https://openalex.org/W4307475457","https://openalex.org/W4387835442","https://openalex.org/W4396781199","https://openalex.org/W4401043540"],"related_works":[],"abstract_inverted_index":{"Networks":[0],"are":[1,12,78],"central":[2],"to":[3,80],"many":[4],"applications,":[5],"yet":[6],"the":[7,76,81,85,126,145],"mechanisms":[8,146],"underlying":[9],"their":[10],"formation":[11,22,40],"not":[13],"fully":[14],"understood.":[15],"In":[16,122],"this":[17],"paper,":[18],"we":[19,83,124],"investigate":[20],"network":[21,39,93,149],"using":[23],"LLM":[24,158],"agents,":[25],"focusing":[26],"on":[27,92,133,144],"whether":[28],"demographics":[29,88],"and":[30,59,89,130],"personality":[31,90,117],"influence":[32],"connection":[33],"choices.":[34],"We":[35,105],"introduce":[36],"a":[37,47,60],"simple":[38],"process":[41],"in":[42,157],"which,":[43],"at":[44],"each":[45,53],"timestep,":[46],"candidate":[48],"pool":[49],"is":[50,114],"constructed":[51],"for":[52],"agent":[54,68],"from":[55],"its":[56],"two-hop":[57],"neighbors":[58],"set":[61],"of":[62,67,75,87,112,128],"randomly":[63],"sampled":[64],"nodes,":[65],"independently":[66],"attributes.":[69],"By":[70],"systematically":[71],"controlling":[72],"which":[73],"attributes":[74],"candidates":[77],"revealed":[79],"agent,":[82],"study":[84],"effect":[86],"traits":[91],"formation.":[94],"Our":[95,136],"findings":[96],"indicate":[97],"strong":[98],"homophily":[99],"across":[100],"multiple":[101],"dimensions,":[102],"particularly":[103],"demographics.":[104],"further":[106],"observe":[107],"that":[108],"popularity":[109],"(i.e.,":[110],"number":[111],"connections)":[113],"shaped":[115],"by":[116],"traits,":[118],"such":[119],"as":[120],"extraversion.":[121],"addition,":[123],"analyze":[125],"effects":[127],"reciprocity":[129],"temporal":[131],"dynamics":[132],"these":[134],"patterns.":[135],"results":[137],"have":[138],"dual":[139],"significance:":[140],"they":[141],"shed":[142],"light":[143],"driving":[147],"social":[148],"formation,":[150],"while":[151],"also":[152],"revealing":[153],"potential":[154],"biases":[155],"embedded":[156],"models.":[159]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-03-12T00:00:00"}
