{"id":"https://openalex.org/W2078767284","doi":"https://doi.org/10.1109/bigdata.2014.7004373","title":"Detecting communities around seed nodes in complex networks","display_name":"Detecting communities around seed nodes in complex networks","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2078767284","doi":"https://doi.org/10.1109/bigdata.2014.7004373","mag":"2078767284"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2014.7004373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2014.7004373","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Big Data (Big Data)","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/A5063371576","display_name":"Christian Staudt","orcid":null},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian L. Staudt","raw_affiliation_strings":["Department of Informatics, Karlsruhe Institute of Technology (KIT)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Karlsruhe Institute of Technology (KIT)","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018891838","display_name":"Yassine Marrakchi","orcid":null},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yassine Marrakchi","raw_affiliation_strings":["Department of Informatics, Karlsruhe Institute of Technology (KIT)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Karlsruhe Institute of Technology (KIT)","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020196859","display_name":"Henning Meyerhenke","orcid":"https://orcid.org/0000-0002-7769-726X"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Henning Meyerhenke","raw_affiliation_strings":["Department of Informatics, Karlsruhe Institute of Technology (KIT)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Karlsruhe Institute of Technology (KIT)","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4101,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.82100307,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"62","last_page":"69"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9919000267982483,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9634000062942505,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.7708312273025513},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6381328105926514},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6328606605529785},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5440906286239624},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.5281029939651489},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.522409200668335},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4785457253456116},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4699456989765167},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43691810965538025},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.42329877614974976},{"id":"https://openalex.org/keywords/social-network-analysis","display_name":"Social network analysis","score":0.4167774021625519},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4128713309764862},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4046030342578888},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3275817632675171},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31500953435897827},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.15076446533203125},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13512450456619263}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7708312273025513},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6381328105926514},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6328606605529785},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5440906286239624},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.5281029939651489},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.522409200668335},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4785457253456116},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4699456989765167},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43691810965538025},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.42329877614974976},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.4167774021625519},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4128713309764862},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4046030342578888},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3275817632675171},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31500953435897827},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.15076446533203125},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13512450456619263},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata.2014.7004373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2014.7004373","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.717.3624","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.717.3624","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://parco.iti.kit.edu/henningm/data/SelectiveCommunityDetection.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W143174683","https://openalex.org/W1570371166","https://openalex.org/W1667576765","https://openalex.org/W1673310716","https://openalex.org/W1989112470","https://openalex.org/W1991408655","https://openalex.org/W1992923616","https://openalex.org/W1999170091","https://openalex.org/W2003798029","https://openalex.org/W2007886416","https://openalex.org/W2008396339","https://openalex.org/W2022704179","https://openalex.org/W2026328186","https://openalex.org/W2047940964","https://openalex.org/W2068015060","https://openalex.org/W2084309732","https://openalex.org/W2086254934","https://openalex.org/W2095072199","https://openalex.org/W2095293504","https://openalex.org/W2097452216","https://openalex.org/W2109726592","https://openalex.org/W2121020155","https://openalex.org/W2127048411","https://openalex.org/W2128366083","https://openalex.org/W2129934604","https://openalex.org/W2131681506","https://openalex.org/W2135512436","https://openalex.org/W2146057107","https://openalex.org/W2150256170","https://openalex.org/W2513804397","https://openalex.org/W2644341057","https://openalex.org/W2952395520","https://openalex.org/W3099768174","https://openalex.org/W3102641634","https://openalex.org/W4285719527","https://openalex.org/W6637131181"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2935909890","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W2389214306"],"abstract_inverted_index":{"The":[0,15,171],"detection":[1,21,138],"of":[2,18,35,44,83,104,133,165],"communities":[3,27,84],"(internally":[4],"dense":[5],"subgraphs)":[6],"is":[7,22,117,159],"a":[8,41,90,124,134,141],"network":[9],"analysis":[10],"task":[11,17],"with":[12,24,70,144],"manifold":[13],"applications.":[14],"special":[16],"selective":[19],"community":[20,79,137],"concerned":[23],"finding":[25],"high-quality":[26],"locally":[28],"around":[29],"seed":[30],"nodes.":[31],"Given":[32],"the":[33,100,112,163,176,179],"lack":[34],"conclusive":[36],"experimental":[37],"studies,":[38],"we":[39,55,128],"perform":[40],"systematic":[42],"comparison":[43,177],"different":[45],"previously":[46],"published":[47],"as":[48,50,64,178],"well":[49],"novel":[51,142],"methods.":[52],"In":[53,140],"particular":[54],"evaluate":[56],"their":[57],"performance":[58],"on":[59,147],"large":[60,121],"complex":[61],"networks,":[62],"such":[63],"social":[65],"networks.":[66],"Algorithms":[67],"are":[68],"compared":[69],"respect":[71],"to":[72,162],"accuracy":[73],"in":[74,99],"detecting":[75],"ground":[76],"truth":[77],"communities,":[78],"quality":[80],"measures,":[81],"size":[82],"and":[85,108],"running":[86],"time.":[87],"We":[88],"implement":[89],"generic":[91],"greedy":[92,115],"algorithm":[93],"which":[94],"subsumes":[95],"several":[96],"previous":[97],"efforts":[98],"field.":[101],"Experimental":[102],"evaluation":[103],"multiple":[105],"objective":[106],"functions":[107],"optimizations":[109],"shows":[110],"that":[111],"frequently":[113],"proposed":[114],"approach":[116],"not":[118],"adequate":[119],"for":[120],"datasets.":[122],"As":[123],"more":[125],"scalable":[126],"alternative,":[127],"propose":[129],"selSCAN,":[130],"our":[131],"adaptation":[132],"global,":[135],"density-based":[136],"algorithm.":[139],"combination":[143],"algebraic":[145],"distances":[146],"graphs,":[148],"query":[149],"times":[150],"can":[151],"be":[152],"strongly":[153],"reduced":[154],"through":[155],"preprocessing.":[156],"However,":[157],"selSCAN":[158],"very":[160],"sensitive":[161],"choice":[164],"numeric":[166],"parameters,":[167],"limiting":[168],"its":[169],"practicality.":[170],"random-walk-based":[172],"PageRankNibble":[173],"emerges":[174],"from":[175],"most":[180],"successful":[181],"candidate.":[182]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":5},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}