{"id":"https://openalex.org/W7128786147","doi":"https://doi.org/10.48550/arxiv.2602.12250","title":"Community Concealment from Unsupervised Graph Learning-Based Clustering","display_name":"Community Concealment from Unsupervised Graph Learning-Based Clustering","publication_year":2026,"publication_date":"2026-02-12","ids":{"openalex":"https://openalex.org/W7128786147","doi":"https://doi.org/10.48550/arxiv.2602.12250"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.12250","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","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":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079872236","display_name":"Dalyapraz Manatova","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Manatova, Dalyapraz","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060813227","display_name":"Moriano Pablo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Moriano, Pablo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5125931558","display_name":"L. Jean Camp","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Camp, L. Jean","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079872236"],"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":0.9185000061988831,"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":0.9185000061988831,"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":0.03359999880194664,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.022199999541044235,"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/cluster-analysis","display_name":"Cluster analysis","score":0.5770999789237976},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5378999710083008},{"id":"https://openalex.org/keywords/optimal-distinctiveness-theory","display_name":"Optimal distinctiveness theory","score":0.5044000148773193},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4668999910354614},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.44350001215934753},{"id":"https://openalex.org/keywords/clustering-coefficient","display_name":"Clustering coefficient","score":0.3993000090122223},{"id":"https://openalex.org/keywords/disjoint-sets","display_name":"Disjoint sets","score":0.3393000066280365},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.32499998807907104},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.3248000144958496}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7170000076293945},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5770999789237976},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5378999710083008},{"id":"https://openalex.org/C47385372","wikidata":"https://www.wikidata.org/wiki/Q7098943","display_name":"Optimal distinctiveness theory","level":2,"score":0.5044000148773193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.489300012588501},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4763999879360199},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4668999910354614},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.44350001215934753},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4205000102519989},{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.3993000090122223},{"id":"https://openalex.org/C45340560","wikidata":"https://www.wikidata.org/wiki/Q215382","display_name":"Disjoint sets","level":2,"score":0.3393000066280365},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.32499998807907104},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3248000144958496},{"id":"https://openalex.org/C2777522414","wikidata":"https://www.wikidata.org/wiki/Q648457","display_name":"Social graph","level":3,"score":0.32339999079704285},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3140999972820282},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.31290000677108765},{"id":"https://openalex.org/C133079900","wikidata":"https://www.wikidata.org/wiki/Q5155065","display_name":"Community structure","level":2,"score":0.2971000075340271},{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.2809000015258789},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2703000009059906},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C117045392","wikidata":"https://www.wikidata.org/wiki/Q4899215","display_name":"Betweenness centrality","level":3,"score":0.2651999890804291},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2615000009536743},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.2590000033378601},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.25679999589920044},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.25290000438690186},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.25049999356269836},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.2502000033855438}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.12250","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.12250","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.12250","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":"pmh:doi:10.48550/arxiv.2602.12250","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Graph":[0],"neural":[1],"networks":[2],"(GNNs)":[3],"are":[4,15],"designed":[5],"to":[6,10,84,146,204],"use":[7],"attributed":[8],"graphs":[9,169],"learn":[11],"representations.":[12],"Such":[13],"representations":[14],"beneficial":[16],"in":[17,45,77,95,160],"the":[18,96,113,120,148,185],"unsupervised":[19],"learning":[20,197],"of":[21,88,139,181],"clusters":[22],"and":[23,47,60,116,123,142,166,198],"community":[24,87,102,114,122,196],"detection.":[25],"Nonetheless,":[26],"such":[27],"inference":[28],"may":[29],"reveal":[30],"sensitive":[31],"groups,":[32,57],"clustered":[33],"systems,":[34],"or":[35,69],"collective":[36],"behaviors,":[37],"raising":[38],"concerns":[39],"regarding":[40],"group-level":[41,200],"privacy.":[42],"Community":[43],"attribution":[44],"social":[46],"critical":[48],"infrastructure":[49],"networks,":[50],"for":[51,67],"example,":[52],"can":[53],"expose":[54],"coordinated":[55],"asset":[56],"operational":[58],"hierarchies,":[59],"system":[61],"dependencies":[62],"that":[63,101,135],"could":[64],"be":[65],"used":[66],"profiling":[68],"intelligence":[70],"gathering.":[71],"We":[72],"study":[73],"a":[74,79,86,132,137,191],"defensive":[75],"setting":[76],"which":[78],"data":[80],"publisher":[81],"(defender)":[82],"seeks":[83],"conceal":[85],"interest":[89],"while":[90],"making":[91],"limited,":[92],"utility-aware":[93],"changes":[94],"network.":[97],"Our":[98],"analysis":[99],"indicates":[100],"concealment":[103,179],"is":[104],"strongly":[105],"influenced":[106],"by":[107,127,151],"two":[108],"quantifiable":[109],"factors:":[110],"connectivity":[111],"at":[112],"boundary":[115],"feature":[117],"similarity":[118],"between":[119],"protected":[121],"adjacent":[124],"communities.":[125],"Informed":[126],"these":[128],"findings,":[129],"we":[130],"present":[131],"perturbation":[133,172],"strategy":[134,193],"rewires":[136],"set":[138],"selected":[140],"edges":[141],"modifies":[143],"node":[144],"features":[145],"reduce":[147],"distinctiveness":[149],"leveraged":[150],"GNN":[152],"message":[153],"passing.":[154],"The":[155],"proposed":[156],"method":[157],"outperforms":[158],"DICE":[159],"our":[161],"experiments":[162],"on":[163],"synthetic":[164],"benchmarks":[165],"real":[167],"network":[168],"under":[170],"identical":[171],"budgets.":[173],"Overall,":[174],"it":[175],"achieves":[176],"median":[177],"relative":[178],"improvements":[180],"approximately":[182],"20-45%":[183],"across":[184],"evaluated":[186],"settings.":[187],"These":[188],"findings":[189],"demonstrate":[190],"mitigation":[192],"against":[194],"GNN-based":[195],"highlight":[199],"privacy":[201],"risks":[202],"intrinsic":[203],"graph":[205],"learning.":[206]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-14T00:00:00"}