{"id":"https://openalex.org/W7163178015","doi":"https://doi.org/10.48550/arxiv.2606.00268","title":"Social learning community detection with nonlinear interaction","display_name":"Social learning community detection with nonlinear interaction","publication_year":2026,"publication_date":"2026-05-29","ids":{"openalex":"https://openalex.org/W7163178015","doi":"https://doi.org/10.48550/arxiv.2606.00268"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.00268","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.00268","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.00268","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074865247","display_name":"Anthony Couthures","orcid":"https://orcid.org/0009-0008-6102-9356"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Couthures, Anthony","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053766870","display_name":"Athira Varma Jayakumar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jayakumar, Athira Varma","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126717827","display_name":"Vineeth Satheeskumar Varma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Varma, Vineeth Satheeskumar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137622044","display_name":"Irinel-Constantin Morarescu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Morarescu, Irinel-Constantin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137677977","display_name":"Samson Lasaulce","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lasaulce, Samson","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5081751699","display_name":"Antoine Girard","orcid":"https://orcid.org/0000-0002-4075-9041"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Girard, Antoine","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.6668000221252441,"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":0.6668000221252441,"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":0.24199999868869781,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.02969999983906746,"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/heuristics","display_name":"Heuristics","score":0.525600016117096},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.49709999561309814},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.486299991607666},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4765999913215637},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4699999988079071},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4487000107765198},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.41620001196861267},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4081999957561493},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.4000999927520752}],"concepts":[{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.525600016117096},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5195000171661377},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.49709999561309814},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.486299991607666},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4765999913215637},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4699999988079071},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4487000107765198},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.41620001196861267},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4081999957561493},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.4000999927520752},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.3978999853134155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3968999981880188},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3944000005722046},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.39309999346733093},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36480000615119934},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.3619000017642975},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.36039999127388},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.3391000032424927},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.323199987411499},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.31450000405311584},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.3050999939441681},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.30250000953674316},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2955000102519989},{"id":"https://openalex.org/C79416737","wikidata":"https://www.wikidata.org/wiki/Q2305519","display_name":"Social learning","level":2,"score":0.2906999886035919},{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.2865000069141388},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.28279998898506165},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2786000072956085},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.2786000072956085},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.27219998836517334},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.26669999957084656},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.26350000500679016}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.00268","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.00268","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.00268","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.00268","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4047771394252777}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Conventional":[0],"community":[1],"detection":[2],"requires":[3],"centralized":[4],"network":[5,61,109,142],"data,":[6],"making":[7],"it":[8],"unsuitable":[9],"for":[10],"distributed":[11],"or":[12],"privacy-preserving":[13],"systems.":[14],"In":[15],"this":[16,91],"paper,":[17],"we":[18,48,93],"demonstrate":[19],"that":[20,50,144],"macroscopic":[21],"graph":[22],"partitioning":[23],"can":[24],"emerge":[25],"purely":[26],"from":[27],"strictly":[28],"local,":[29],"privacy":[30],"preserving":[31],"interactions":[32],"driven":[33],"by":[34],"social":[35],"learning.":[36],"By":[37,107],"reframing":[38],"clustering":[39],"as":[40],"a":[41,60,161],"symmetry-breaking":[42],"process":[43],"within":[44],"nonlinear":[45],"opinion":[46],"dynamics,":[47],"show":[49],"exchanging":[51],"saturated":[52],"state":[53],"dependent":[54],"signal":[55],"(like":[56],"public":[57],"actions)":[58],"forces":[59],"to":[62,100,160],"naturally":[63,126],"fracture":[64],"along":[65],"its":[66],"sparsest":[67],"cuts.":[68],"We":[69],"mathematically":[70],"establish":[71],"the":[72,101,119,134,138,150],"spectral":[73],"conditions":[74],"under":[75],"which":[76],"dense":[77],"core":[78],"communities":[79],"lock":[80],"into":[81],"stable,":[82],"polarized":[83],"states,":[84],"robustly":[85],"resisting":[86],"external":[87],"influence.":[88],"To":[89],"apply":[90],"mechanism,":[92],"propose":[94],"three":[95],"decentralized":[96,147],"algorithms,":[97],"leading":[98],"up":[99,159],"Score-based":[102],"Edge":[103],"Reliability":[104],"(SER)":[105],"framework.":[106],"evaluating":[108],"ties":[110],"across":[111],"multiple":[112],"independent":[113],"discussion":[114],"topics,":[115],"SER":[116],"statistically":[117],"bypasses":[118],"errors":[120],"of":[121,152,164],"traditional":[122],"greedy":[123],"bisections":[124],"and":[125,137],"isolates":[127],"structurally":[128],"ambiguous":[129],"frontier":[130],"nodes.":[131],"Validations":[132],"on":[133],"ABCD":[135],"benchmark":[136],"real-world":[139],"Ngogo":[140],"chimpanzee":[141],"confirm":[143],"our":[145],"fully":[146],"approach":[148],"matches":[149],"accuracy":[151],"globally":[153],"optimized":[154],"heuristics":[155],"(e.g.,":[156],"Louvain,":[157],"Leiden)":[158],"theoretical":[162],"limit":[163],"detectable":[165],"graphs.":[166]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-03T00:00:00"}
