{"id":"https://openalex.org/W2114532600","doi":"https://doi.org/10.1145/2629511","title":"Uncovering Hierarchical and Overlapping Communities with a Local-First Approach","display_name":"Uncovering Hierarchical and Overlapping Communities with a Local-First Approach","publication_year":2014,"publication_date":"2014-08-25","ids":{"openalex":"https://openalex.org/W2114532600","doi":"https://doi.org/10.1145/2629511","mag":"2114532600"},"language":"en","primary_location":{"id":"doi:10.1145/2629511","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2629511","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"type":"article","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/A5036998377","display_name":"Michele Coscia","orcid":"https://orcid.org/0000-0001-5984-5137"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Michele Coscia","raw_affiliation_strings":["CID - Harvard Kennedy School, Cambridge, MA, US"],"affiliations":[{"raw_affiliation_string":"CID - Harvard Kennedy School, Cambridge, MA, US","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002595735","display_name":"Giulio Rossetti","orcid":"https://orcid.org/0000-0003-3373-1240"},"institutions":[{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giulio Rossetti","raw_affiliation_strings":["KDDLab, ISTI-CNR, Pisa, Italy","KddLab ISTI-CNR, Pisa, Italy#TAB#"],"affiliations":[{"raw_affiliation_string":"KDDLab, ISTI-CNR, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]},{"raw_affiliation_string":"KddLab ISTI-CNR, Pisa, Italy#TAB#","institution_ids":["https://openalex.org/I122991210"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024505700","display_name":"Fosca Giannotti","orcid":"https://orcid.org/0000-0003-3099-3835"},"institutions":[{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fosca Giannotti","raw_affiliation_strings":["KDDLab, ISTI-CNR, Pisa, Italy","KddLab ISTI-CNR, Pisa, Italy#TAB#"],"affiliations":[{"raw_affiliation_string":"KDDLab, ISTI-CNR, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]},{"raw_affiliation_string":"KddLab ISTI-CNR, Pisa, Italy#TAB#","institution_ids":["https://openalex.org/I122991210"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044898565","display_name":"Dino Pedreschi","orcid":"https://orcid.org/0000-0003-4801-3225"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Dino Pedreschi","raw_affiliation_strings":["Computer Science Department, University of Pisa, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036998377"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.9905,"has_fulltext":false,"cited_by_count":78,"citation_normalized_percentile":{"value":0.94221239,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"9","issue":"1","first_page":"1","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":1.0,"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":1.0,"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":0.9993000030517578,"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/T10799","display_name":"Data Visualization and Analytics","score":0.991100013256073,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6924179792404175},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5422521233558655},{"id":"https://openalex.org/keywords/disjoint-sets","display_name":"Disjoint sets","score":0.5165063738822937},{"id":"https://openalex.org/keywords/community-structure","display_name":"Community structure","score":0.4897902011871338},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.4756826162338257},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.47375327348709106},{"id":"https://openalex.org/keywords/intuition","display_name":"Intuition","score":0.4697951078414917},{"id":"https://openalex.org/keywords/hierarchical-organization","display_name":"Hierarchical organization","score":0.46677249670028687},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.45357099175453186},{"id":"https://openalex.org/keywords/social-connectedness","display_name":"Social connectedness","score":0.4263729155063629},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4143870770931244},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4093312621116638},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4052990972995758},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34523332118988037},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33321458101272583},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.19057366251945496},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1569911539554596},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12742608785629272}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6924179792404175},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5422521233558655},{"id":"https://openalex.org/C45340560","wikidata":"https://www.wikidata.org/wiki/Q215382","display_name":"Disjoint sets","level":2,"score":0.5165063738822937},{"id":"https://openalex.org/C133079900","wikidata":"https://www.wikidata.org/wiki/Q5155065","display_name":"Community structure","level":2,"score":0.4897902011871338},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.4756826162338257},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.47375327348709106},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.4697951078414917},{"id":"https://openalex.org/C2780217385","wikidata":"https://www.wikidata.org/wiki/Q2389284","display_name":"Hierarchical organization","level":2,"score":0.46677249670028687},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.45357099175453186},{"id":"https://openalex.org/C201943243","wikidata":"https://www.wikidata.org/wiki/Q7551008","display_name":"Social connectedness","level":2,"score":0.4263729155063629},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4143870770931244},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4093312621116638},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4052990972995758},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34523332118988037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33321458101272583},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.19057366251945496},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1569911539554596},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12742608785629272},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2629511","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2629511","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},{"id":"pmh:oai:arpi.unipi.it:11568/713663","is_oa":false,"landing_page_url":"http://dl.acm.org/citation.cfm?doid=2629511","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:dnet:people______::f58e204aaea595a9cc2f3550055f5422","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S7407055261","display_name":"ISTI Open Portal","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA (ONLINE), vol. 9 (issue 1), pp. 6-27","raw_type":"Journal article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4736694462","display_name":null,"funder_award_id":"1216028","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320334960","display_name":"Seventh Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W66588809","https://openalex.org/W87822204","https://openalex.org/W1519109293","https://openalex.org/W1568436970","https://openalex.org/W1613448136","https://openalex.org/W1774824195","https://openalex.org/W1971421925","https://openalex.org/W1991408655","https://openalex.org/W1994473607","https://openalex.org/W1995996823","https://openalex.org/W2007168590","https://openalex.org/W2022704179","https://openalex.org/W2033590892","https://openalex.org/W2042276255","https://openalex.org/W2047940964","https://openalex.org/W2059270055","https://openalex.org/W2074617510","https://openalex.org/W2082773934","https://openalex.org/W2101324110","https://openalex.org/W2108502868","https://openalex.org/W2110620844","https://openalex.org/W2118608338","https://openalex.org/W2122515732","https://openalex.org/W2127048411","https://openalex.org/W2128366083","https://openalex.org/W2131681506","https://openalex.org/W2132202037","https://openalex.org/W2136294701","https://openalex.org/W2139694940","https://openalex.org/W2146241755","https://openalex.org/W2147475342","https://openalex.org/W2151936673","https://openalex.org/W2155461593","https://openalex.org/W2157527521","https://openalex.org/W2160513711","https://openalex.org/W2164998314","https://openalex.org/W2166692708","https://openalex.org/W2169404653","https://openalex.org/W2169499007","https://openalex.org/W2170138277","https://openalex.org/W2173213060","https://openalex.org/W2487292128","https://openalex.org/W2620315948","https://openalex.org/W2963666064","https://openalex.org/W3099768174","https://openalex.org/W3102641634","https://openalex.org/W3123041312"],"related_works":["https://openalex.org/W2034220069","https://openalex.org/W2006852656","https://openalex.org/W3004486383","https://openalex.org/W11097679","https://openalex.org/W2948079051","https://openalex.org/W2133614729","https://openalex.org/W2980465164","https://openalex.org/W2803128880","https://openalex.org/W1964834700","https://openalex.org/W2379180037"],"abstract_inverted_index":{"Community":[0],"discovery":[1,198],"in":[2,34,38,53,84,132,206,210],"complex":[3,47,73],"networks":[4,86,264],"is":[5,30,43,64,117,152,272,283,285],"the":[6,26,35,44,61,85,98,126,137,155,171,175,178,194,207,211,214,228,231,236,241,245,253],"task":[7],"of":[8,46,60,136,154,161,174,187,213,230],"organizing":[9],"a":[10,31,100,109,144,219,289],"network\u2019s":[11],"structure":[12],"by":[13,119,234],"grouping":[14],"together":[15],"nodes":[16,90],"related":[17],"to":[18,103,113,239,244,274],"each":[19,41,122,150,160],"other.":[20],"Traditional":[21],"approaches":[22],"are":[23,87,97,167],"based":[24],"on":[25,221,224,299],"assumption":[27],"that":[28,82,149,201,294],"there":[29],"global-level":[32],"organization":[33,173],"network.":[36],"However,":[37],"many":[39],"scenarios,":[40],"node":[42,101,123,151],"bearer":[45],"information":[48,74,251],"and":[49,79,104,181,185,199,223,268,287],"cannot":[50],"be":[51,297],"classified":[52],"disjoint":[54],"clusters.":[55],"The":[56,94,164],"top-down":[57],"global":[58,138,179],"view":[59,135],"partition":[62],"approach":[63,112],"not":[65],"designed":[66],"for":[67,125],"this.":[68],"Here,":[69],"we":[70,80,105,248,278],"represent":[71],"this":[72,191],"as":[75],"multiple":[76],"latent":[77,95,254],"labels,":[78],"postulate":[81],"edges":[83],"created":[88],"among":[89],"carrying":[91],"similar":[92],"labels.":[93,255],"labels":[96],"communities":[99,127,166,238,267],"belongs":[102],"discover":[106],"them":[107],"with":[108,159],"simple":[110],"local-first":[111],"community":[114,197,232],"discovery.":[115],"This":[116],"achieved":[118],"democratically":[120],"letting":[121],"vote":[124],"it":[128,131,157,295],"sees":[129],"surrounding":[130],"its":[133,140,162],"limited":[134,290],"system,":[139],"ego":[141],"neighborhood,":[142],"using":[143,235],"label":[145,156],"propagation":[146],"algorithm,":[147],"assuming":[148],"aware":[153],"shares":[158],"connections.":[163],"local":[165],"merged":[168],"hierarchically,":[169],"unveiling":[170],"modular":[172],"network":[176],"at":[177],"level":[180],"identifying":[182],"overlapping":[183,196,266],"groups":[184,186],"groups.":[188],"We":[189,217,256],"tested":[190],"intuition":[192],"against":[193],"state-of-the-art":[195],"found":[200],"our":[202,270,281],"new":[203],"method":[204,282],"advances":[205],"chosen":[208],"scenarios":[209],"quality":[212,229],"obtained":[215],"communities.":[216],"perform":[218],"test":[220],"benchmark":[222],"real-world":[225,263,300],"networks,":[226],"evaluating":[227],"coverage":[233],"extracted":[237],"predict":[240],"metadata":[242],"attached":[243],"nodes,":[246],"which":[247],"consider":[249],"external":[250],"about":[252,261],"also":[257],"provide":[258],"an":[259],"explanation":[260],"why":[262],"contain":[265],"how":[269,280],"logic":[271],"able":[273],"capture":[275],"them.":[276],"Finally,":[277],"show":[279],"deterministic,":[284],"incremental,":[286],"has":[288],"time":[291],"complexity,":[292],"so":[293],"can":[296],"used":[298],"scale":[301],"networks.":[302]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
