{"id":"https://openalex.org/W7168411684","doi":"https://doi.org/10.48448/n7ed-h414","title":"GRAPHIA: Harnessing Social Graph Data to Enhance LLM-Based Social Simulation","display_name":"GRAPHIA: Harnessing Social Graph Data to Enhance LLM-Based Social Simulation","publication_year":2026,"publication_date":"2026-06-03","ids":{"openalex":"https://openalex.org/W7168411684","doi":"https://doi.org/10.48448/n7ed-h414"},"language":"en","primary_location":{"id":"doi:10.48448/n7ed-h414","doi":"https://doi.org/10.48448/n7ed-h414","is_oa":true,"landing_page_url":"https://doi.org/10.48448/n7ed-h414","pdf_url":null,"source":{"id":"https://openalex.org/S7407053148","display_name":"Underline Science Inc.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Audiovisual"},"volume":null,"type":"other","is_traditional":false,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48448/n7ed-h414","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5140798803","display_name":"Association for Computational Linguistics 2026","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Association for Computational Linguistics 2026","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140831461","display_name":"JiaRui Ji","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji, JiaRui","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084988219","display_name":"Bin Tong","orcid":"https://orcid.org/0009-0008-9890-8848","observed_orcids":["https://orcid.org/0009-0008-9890-8848"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tong, Bin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140795966","display_name":"Guan Wang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Guan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074858555","display_name":"Zhewei Wei","orcid":"https://orcid.org/0000-0003-3620-5086","observed_orcids":["https://orcid.org/0000-0003-3620-5086"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei, Zhewei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140915741","display_name":"Zehua Zhang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Zehua","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5141013088","display_name":"Bo Zheng","orcid":"https://orcid.org/0009-0001-4007-3955","observed_orcids":["https://orcid.org/0009-0001-4007-3955"]},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]},{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Zheng, Bo","raw_affiliation_strings":["Future Living Lab of Alibaba"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Future Living Lab of Alibaba","institution_ids":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.5746999979019165,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.5746999979019165,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.3009999990463257,"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/T10028","display_name":"Topic Modeling","score":0.0357000008225441,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/social-graphs","display_name":"social graphs","score":0.8870000243186951},{"id":"https://openalex.org/keywords/destination-choice","display_name":"destination choice","score":0.7490000128746033},{"id":"https://openalex.org/keywords/dynamic-graph-generation","display_name":"dynamic graph generation","score":0.9559999704360962},{"id":"https://openalex.org/keywords/power-law","display_name":"power law","score":0.6690000295639038},{"id":"https://openalex.org/keywords/echo-chambers","display_name":"echo chambers","score":0.8889999985694885},{"id":"https://openalex.org/keywords/agent-based-modeling","display_name":"agent-based modeling","score":0.3059999942779541}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7745000123977661},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5516999959945679},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5454000234603882},{"id":"https://openalex.org/C2777522414","wikidata":"https://www.wikidata.org/wiki/Q648457","display_name":"Social graph","level":3,"score":0.5346999764442444},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.45570001006126404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3968000113964081},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3659000098705292},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.35580000281333923},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.34139999747276306},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.3089999854564667},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.3084000051021576},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3005000054836273},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.28060001134872437},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2533999979496002},{"id":"https://openalex.org/C146380142","wikidata":"https://www.wikidata.org/wiki/Q1137726","display_name":"Directed graph","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48448/n7ed-h414","doi":"https://doi.org/10.48448/n7ed-h414","is_oa":true,"landing_page_url":"https://doi.org/10.48448/n7ed-h414","pdf_url":null,"source":{"id":"https://openalex.org/S7407053148","display_name":"Underline Science Inc.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Audiovisual"}],"best_oa_location":{"id":"doi:10.48448/n7ed-h414","doi":"https://doi.org/10.48448/n7ed-h414","is_oa":true,"landing_page_url":"https://doi.org/10.48448/n7ed-h414","pdf_url":null,"source":{"id":"https://openalex.org/S7407053148","display_name":"Underline Science Inc.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Audiovisual"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4412888917","https://openalex.org/W7155090298","https://openalex.org/W7117292714","https://openalex.org/W7112586371","https://openalex.org/W7166829756","https://openalex.org/W4416246610","https://openalex.org/W4410049418","https://openalex.org/W4413255795","https://openalex.org/W7161140849","https://openalex.org/W7166348687"],"abstract_inverted_index":{"Large":[0],"language":[1],"models":[2],"(LLMs)":[3],"have":[4],"shown":[5],"promise":[6],"in":[7,138,145,151],"simulating":[8],"human-like":[9],"social":[10,45,173,186],"behaviors.":[11],"Social":[12],"graphs":[13,187],"provide":[14],"high-quality":[15,191],"supervision":[16,54,192],"signals":[17,193],"that":[18,49,185],"encode":[19],"both":[20],"local":[21],"interactions":[22],"and":[23,77,110,149,168,179,203],"global":[24],"network":[25,126,204],"structure,":[26],"yet":[27],"they":[28],"remain":[29],"underutilized":[30],"for":[31,55,123,194,206],"LLM":[32,56,195],"training.":[33],"To":[34],"address":[35],"this":[36],"gap,":[37],"we":[38],"propose":[39],"Graphia,":[40],"the":[41,139,156,198],"first":[42],"general":[43],"LLM-based":[44,207],"graph":[46,51,86],"simulation":[47],"framework":[48],"leverages":[50],"data":[52],"as":[53,176,190],"post-training":[57],"via":[58],"reinforcement":[59],"learning.":[60],"With":[61],"GNN-based":[62],"structural":[63,166],"rewards,":[64],"Graphia":[65,91,132],"trains":[66],"specialized":[67],"agents":[68],"to":[69,72,79],"predict":[70],"whom":[71],"interact":[73,80],"with":[74,103,119],"(destination":[75],"selection)":[76],"how":[78],"(edge":[81],"generation),":[82],"followed":[83],"by":[84,136],"designed":[85],"generation":[87],"pipelines.":[88],"We":[89],"evaluate":[90],"under":[92],"two":[93],"settings:":[94],"Transductive":[95],"Dynamic":[96,112],"Graph":[97,113],"Generation":[98,114],"(TDGG),":[99],"a":[100,116],"micro-level":[101,134],"task":[102,118],"our":[104,120],"proposed":[105,121],"node-wise":[106],"interaction":[107],"alignment":[108,135],"metrics;":[109],"Inductive":[111],"(IDGG),":[115],"macro-level":[117,160],"metrics":[122],"aligning":[124],"emergent":[125],"properties.":[127],"On":[128],"three":[129],"real-world":[130],"networks,":[131],"improves":[133],"6.1\\%":[137],"composite":[140],"destination":[141],"selection":[142],"score,":[143],"12\\%":[144],"edge":[146,152],"classification":[147],"accuracy,":[148],"27.9\\%":[150],"content":[153],"BERTScore":[154],"over":[155],"strongest":[157],"baseline.":[158],"For":[159],"alignment,":[161],"it":[162],"achieves":[163],"35.98\\%":[164],"higher":[165],"similarity":[167],"28.71\\%":[169],"better":[170],"replication":[171],"of":[172],"phenomena":[174],"such":[175],"power":[177],"laws":[178],"echo":[180],"chambers.":[181],"Our":[182],"results":[183],"show":[184],"can":[188],"serve":[189],"post-training,":[196],"closing":[197],"gap":[199],"between":[200],"agent":[201],"behaviors":[202],"dynamics":[205],"simulation.":[208],"Code":[209],"is":[210],"available":[211],"at":[212],"https://github.com/Ji-Cather/Graphia.git.":[213]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-07-16T00:00:00"}