{"id":"https://openalex.org/W2743468773","doi":"https://doi.org/10.1145/3106426.3106493","title":"Assessing the suitability of network community detection to available meta-data using rank stability","display_name":"Assessing the suitability of network community detection to available meta-data using rank stability","publication_year":2017,"publication_date":"2017-08-10","ids":{"openalex":"https://openalex.org/W2743468773","doi":"https://doi.org/10.1145/3106426.3106493","mag":"2743468773"},"language":"en","primary_location":{"id":"doi:10.1145/3106426.3106493","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3106426.3106493","pdf_url":null,"source":{"id":"https://openalex.org/S4306524158","display_name":"Proceedings of the International Conference on Web Intelligence","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Web Intelligence","raw_type":"proceedings-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/A5000927079","display_name":"Ryan Hartman","orcid":"https://orcid.org/0000-0001-8044-5461"},"institutions":[{"id":"https://openalex.org/I106959904","display_name":"Florida Institute of Technology","ror":"https://ror.org/04atsbb87","country_code":"US","type":"education","lineage":["https://openalex.org/I106959904"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ryan Hartman","raw_affiliation_strings":["Florida Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Florida Institute of Technology","institution_ids":["https://openalex.org/I106959904"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052436764","display_name":"Josemar Faustino","orcid":"https://orcid.org/0000-0002-0129-4106"},"institutions":[{"id":"https://openalex.org/I106959904","display_name":"Florida Institute of Technology","ror":"https://ror.org/04atsbb87","country_code":"US","type":"education","lineage":["https://openalex.org/I106959904"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Josemar Faustino","raw_affiliation_strings":["Florida Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Florida Institute of Technology","institution_ids":["https://openalex.org/I106959904"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065315106","display_name":"Diego Pinheiro","orcid":"https://orcid.org/0000-0001-9300-7196"},"institutions":[{"id":"https://openalex.org/I106959904","display_name":"Florida Institute of Technology","ror":"https://ror.org/04atsbb87","country_code":"US","type":"education","lineage":["https://openalex.org/I106959904"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Diego Pinheiro","raw_affiliation_strings":["Florida Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Florida Institute of Technology","institution_ids":["https://openalex.org/I106959904"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068151130","display_name":"Ronaldo Menezes","orcid":"https://orcid.org/0000-0002-6479-6429"},"institutions":[{"id":"https://openalex.org/I106959904","display_name":"Florida Institute of Technology","ror":"https://ror.org/04atsbb87","country_code":"US","type":"education","lineage":["https://openalex.org/I106959904"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ronaldo Menezes","raw_affiliation_strings":["Florida Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Florida Institute of Technology","institution_ids":["https://openalex.org/I106959904"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000927079"],"corresponding_institution_ids":["https://openalex.org/I106959904"],"apc_list":null,"apc_paid":null,"fwci":2.3884,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.9137931,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"80","issue":null,"first_page":"162","last_page":"169"},"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":0.9977999925613403,"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/T13283","display_name":"Mental Health Research Topics","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7011478543281555},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.6448124051094055},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5709645748138428},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.530104398727417},{"id":"https://openalex.org/keywords/community-structure","display_name":"Community structure","score":0.522077739238739},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5059396624565125},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.451917439699173},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4484991729259491},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.44711607694625854},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.41631895303726196},{"id":"https://openalex.org/keywords/social-network-analysis","display_name":"Social network analysis","score":0.4120980203151703},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33699044585227966},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13991108536720276},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12950855493545532},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.12886613607406616},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08882778882980347}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7011478543281555},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6448124051094055},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5709645748138428},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.530104398727417},{"id":"https://openalex.org/C133079900","wikidata":"https://www.wikidata.org/wiki/Q5155065","display_name":"Community structure","level":2,"score":0.522077739238739},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5059396624565125},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.451917439699173},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4484991729259491},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.44711607694625854},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.41631895303726196},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.4120980203151703},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33699044585227966},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13991108536720276},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12950855493545532},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.12886613607406616},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08882778882980347},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3106426.3106493","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3106426.3106493","pdf_url":null,"source":{"id":"https://openalex.org/S4306524158","display_name":"Proceedings of the International Conference on Web Intelligence","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Web Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1634928763","display_name":null,"funder_award_id":"CNS 09-23050","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1486426280","https://openalex.org/W1515908375","https://openalex.org/W1928856156","https://openalex.org/W1930572491","https://openalex.org/W1971421925","https://openalex.org/W1991408655","https://openalex.org/W1995996823","https://openalex.org/W2022704179","https://openalex.org/W2023655578","https://openalex.org/W2040956707","https://openalex.org/W2045313237","https://openalex.org/W2047109571","https://openalex.org/W2090372231","https://openalex.org/W2095293504","https://openalex.org/W2111002549","https://openalex.org/W2119998616","https://openalex.org/W2120043163","https://openalex.org/W2127048411","https://openalex.org/W2128366083","https://openalex.org/W2146591355","https://openalex.org/W2148606196","https://openalex.org/W2151078464","https://openalex.org/W2164928285","https://openalex.org/W2164998314","https://openalex.org/W2513567506","https://openalex.org/W2604777976","https://openalex.org/W2623046470","https://openalex.org/W2951271819","https://openalex.org/W2963666064","https://openalex.org/W3102617382","https://openalex.org/W3102641634","https://openalex.org/W3104267360","https://openalex.org/W3125564425","https://openalex.org/W3126033509","https://openalex.org/W4298334591","https://openalex.org/W4298502720"],"related_works":["https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W2047973478","https://openalex.org/W2067569035","https://openalex.org/W2090985514","https://openalex.org/W2113666009","https://openalex.org/W2220635983","https://openalex.org/W2145649715","https://openalex.org/W3195209712","https://openalex.org/W3121514110"],"abstract_inverted_index":{"In":[0,172],"the":[1,8,34,37,43,47,66,90,99,104,114,117,131,137,143,165,177,193],"last":[2],"two":[3],"decades,":[4],"we":[5,175],"have":[6,78],"witnessed":[7],"widespread":[9],"use":[10,178],"of":[11,14,39,42,46,58,63,70,113,146,157,164,179,183,195,206],"structural":[12,53],"analysis":[13,54],"data.":[15],"The":[16,152],"area,":[17],"generally":[18],"called":[19,73],"Network":[20],"Science,":[21],"concentrates":[22],"on":[23],"understanding":[24],"complex":[25],"phenomena":[26],"by":[27,169],"looking":[28],"for":[29],"properties":[30],"that":[31,69,106],"emerge":[32],"from":[33,136,192],"relationships":[35],"between":[36],"pieces":[38],"data":[40,48,204],"instead":[41],"traditional":[44],"mining":[45],"itself.":[49],"A":[50],"commonly":[51],"used":[52],"in":[55,116,121,142],"networks":[56],"consists":[57],"finding":[59],"subgraphs":[60],"whose":[61],"density":[62],"connections":[64],"within":[65],"subgraph":[67],"surpasses":[68],"outside":[71],"connections;":[72],"Community":[74],"Detection.":[75],"Many":[76],"techniques":[77,191],"been":[79],"proposed":[80],"to":[81,88,93,148,185],"find":[82,94],"communities":[83,108,125,187],"as":[84,86,161],"well":[85],"benchmarks":[87],"evaluate":[89],"algorithms":[91],"ability":[92],"these":[95,107],"substructures.":[96],"Until":[97],"recently,":[98],"literature":[100],"has":[101],"mostly":[102],"neglected":[103],"fact":[105],"often":[109],"represent":[110],"common":[111],"characteristic":[112],"elements":[115],"community.":[118],"For":[119],"instance,":[120],"a":[122,150,162,202],"social":[123,208],"network,":[124],"could":[126],"represent:":[127],"people":[128,135],"who":[129],"follow":[130],"same":[132,138,144],"particular":[133],"sport,":[134],"classroom,":[139],"authors":[140],"working":[141],"field":[145],"study,":[147],"name":[149],"few.":[151],"problem":[153],"here":[154],"is":[155],"one":[156],"community":[158,212],"detection":[159,213],"selection":[160],"function":[163],"ground":[166],"truth":[167],"provided":[168],"available":[170],"meta-data.":[171,196],"this":[173],"work,":[174],"propose":[176],"rank":[180],"stability":[181],"(entropy":[182],"ranks)":[184],"assess":[186],"identified":[188],"using":[189,201],"different":[190],"perspective":[194],"We":[197],"validate":[198],"our":[199],"approach":[200],"large-scale":[203],"set":[205],"on-line":[207],"interactions":[209],"across":[210],"multiple":[211],"techniques.":[214]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}