{"id":"https://openalex.org/W7117154759","doi":"https://doi.org/10.48550/arxiv.2512.18094","title":"Rethinking Multi-Agent Intelligence Through the Lens of Small-World Networks","display_name":"Rethinking Multi-Agent Intelligence Through the Lens of Small-World Networks","publication_year":2025,"publication_date":"2025-12-19","ids":{"openalex":"https://openalex.org/W7117154759","doi":"https://doi.org/10.48550/arxiv.2512.18094"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2512.18094","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2512.18094","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2512.18094","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Wang, Boxuan","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wang, Boxuan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062115381","display_name":"Zhuoyun Li","orcid":"https://orcid.org/0000-0002-1024-9649"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Zhuoyun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121195030","display_name":"Xiaowei Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Xiaowei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5102688830","display_name":"Yi Dong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong, Yi","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"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":0.12389999628067017,"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":0.12389999628067017,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.09619999676942825,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.06239999830722809,"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/scalability","display_name":"Scalability","score":0.5968000292778015},{"id":"https://openalex.org/keywords/through-the-lens-metering","display_name":"Through-the-lens metering","score":0.566100001335144},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4562999904155731},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.44670000672340393},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3862999975681305},{"id":"https://openalex.org/keywords/framing","display_name":"Framing (construction)","score":0.3790999948978424},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.3628000020980835},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.35929998755455017},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.35519999265670776}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6843000054359436},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5968000292778015},{"id":"https://openalex.org/C43091099","wikidata":"https://www.wikidata.org/wiki/Q1067788","display_name":"Through-the-lens metering","level":3,"score":0.566100001335144},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4562999904155731},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.44670000672340393},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42329999804496765},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3862999975681305},{"id":"https://openalex.org/C169087156","wikidata":"https://www.wikidata.org/wiki/Q2131593","display_name":"Framing (construction)","level":2,"score":0.3790999948978424},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.3628000020980835},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.35929998755455017},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.35519999265670776},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.3522000014781952},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35199999809265137},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3321000039577484},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.3246000111103058},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.31769999861717224},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.30809998512268066},{"id":"https://openalex.org/C41550386","wikidata":"https://www.wikidata.org/wiki/Q529909","display_name":"Multi-agent system","level":2,"score":0.3028999865055084},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.29440000653266907},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.2930999994277954},{"id":"https://openalex.org/C49020025","wikidata":"https://www.wikidata.org/wiki/Q1059099","display_name":"Chaining","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C47822265","wikidata":"https://www.wikidata.org/wiki/Q854457","display_name":"Complex system","level":2,"score":0.273499995470047},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.26910001039505005},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26579999923706055},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.26460000872612},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.2522999942302704}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2512.18094","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2512.18094","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2512.18094","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2512.18094","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"language":[1],"models":[2],"(LLMs)":[3],"have":[4],"enabled":[5],"multi-agent":[6,97],"systems":[7],"(MAS)":[8],"in":[9],"which":[10],"multiple":[11],"agents":[12,143],"argue,":[13],"critique,":[14],"and":[15,60,81,93,115,161,186],"coordinate":[16],"to":[17,84,158],"solve":[18],"complex":[19,82],"tasks,":[20],"making":[21],"communication":[22],"topology":[23],"a":[24,70,101],"first-class":[25],"design":[26,71],"choice.":[27],"Yet":[28],"most":[29],"existing":[30],"LLM-based":[31],"MAS":[32,173],"either":[33],"adopt":[34],"fully":[35],"connected":[36],"graphs,":[37],"simple":[38],"sparse":[39],"rings,":[40],"or":[41],"ad-hoc":[42],"dynamic":[43],"selection,":[44],"with":[45],"little":[46],"structural":[47],"guidance.":[48],"In":[49],"this":[50],"work,":[51],"we":[52,65,126,165],"revisit":[53],"classic":[54],"theory":[55],"on":[56,124],"small-world":[57],"(SW)":[58],"networks":[59,83],"ask:":[61],"what":[62],"changes":[63],"if":[64],"treat":[66],"SW":[67,88,108,154,170],"connectivity":[68,109],"as":[69,100,177],"prior":[72],"for":[73,132,172,189],"MAS?":[74],"We":[75],"first":[76],"bridge":[77],"insights":[78],"from":[79],"neuroscience":[80],"MAS,":[85,134],"highlighting":[86],"how":[87],"structures":[89,155],"balance":[90],"local":[91],"clustering":[92],"long-range":[94,136],"integration.":[95],"Using":[96],"debate":[98],"(MAD)":[99],"controlled":[102],"testbed,":[103],"experiment":[104],"results":[105],"show":[106],"that":[107,156],"yields":[110,152],"nearly":[111],"the":[112],"same":[113],"accuracy":[114],"token":[116],"cost,":[117],"while":[118],"substantially":[119],"stabilizing":[120],"consensus":[121],"trajectories.":[122],"Building":[123],"this,":[125],"introduce":[127],"an":[128],"uncertainty-guided":[129],"rewiring":[130],"scheme":[131],"scaling":[133],"where":[135],"shortcuts":[137],"are":[138],"added":[139],"between":[140],"epistemically":[141],"divergent":[142],"using":[144],"LLM-oriented":[145],"uncertainty":[146],"signals":[147],"(e.g.,":[148],"semantic":[149],"entropy).":[150],"This":[151],"controllable":[153],"adapt":[157],"task":[159],"difficulty":[160],"agent":[162],"heterogeneity.":[163],"Finally,":[164],"discuss":[166],"broader":[167],"implications":[168],"of":[169,179,182],"priors":[171],"design,":[174],"framing":[175],"them":[176],"stabilizers":[178],"reasoning,":[180],"enhancers":[181],"robustness,":[183],"scalable":[184],"coordinators,":[185],"inductive":[187],"biases":[188],"emergent":[190],"cognitive":[191],"roles.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-12-24T00:00:00"}
