{"id":"https://openalex.org/W1954241630","doi":"https://doi.org/10.1109/tkde.2015.2453956","title":"Triadic Closure Pattern Analysis and Prediction in Social Networks","display_name":"Triadic Closure Pattern Analysis and Prediction in Social Networks","publication_year":2015,"publication_date":"2015-07-08","ids":{"openalex":"https://openalex.org/W1954241630","doi":"https://doi.org/10.1109/tkde.2015.2453956","mag":"1954241630"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2015.2453956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2015.2453956","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","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/A5032599155","display_name":"Hong Huang","orcid":"https://orcid.org/0000-0002-5282-551X"},"institutions":[{"id":"https://openalex.org/I74656192","display_name":"University of G\u00f6ttingen","ror":"https://ror.org/01y9bpm73","country_code":"DE","type":"education","lineage":["https://openalex.org/I74656192"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hong Huang","raw_affiliation_strings":["Institute of Computer Science, University of G\u00f6ttingen, Lower Saxony, G\u00f6ttingen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, University of G\u00f6ttingen, Lower Saxony, G\u00f6ttingen, Germany","institution_ids":["https://openalex.org/I74656192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044791875","display_name":"Jie Tang","orcid":"https://orcid.org/0000-0003-3487-4593"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Tang","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China","Dept. of Computer Science & Technology, Tsinghua University, Beijing, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Computer Science & Technology, Tsinghua University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100396549","display_name":"Lu Liu","orcid":"https://orcid.org/0000-0003-2741-2542"},"institutions":[{"id":"https://openalex.org/I4210101616","display_name":"Tango Systems (United States)","ror":"https://ror.org/016e1rp63","country_code":"US","type":"company","lineage":["https://openalex.org/I4210101616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lu Liu","raw_affiliation_strings":["TangoMe Inc, Mountain View, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TangoMe Inc, Mountain View, CA","institution_ids":["https://openalex.org/I4210101616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071165327","display_name":"Jar\u2010Der Luo","orcid":"https://orcid.org/0000-0002-1387-9849"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"JarDer Luo","raw_affiliation_strings":["Department of Sociology, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Sociology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018318168","display_name":"Xiaoming Fu","orcid":"https://orcid.org/0000-0002-8012-4753"},"institutions":[{"id":"https://openalex.org/I74656192","display_name":"University of G\u00f6ttingen","ror":"https://ror.org/01y9bpm73","country_code":"DE","type":"education","lineage":["https://openalex.org/I74656192"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Xiaoming Fu","raw_affiliation_strings":["Institute of Computer Science, University of G\u00f6ttingen, Lower Saxony, G\u00f6ttingen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, University of G\u00f6ttingen, Lower Saxony, G\u00f6ttingen, Germany","institution_ids":["https://openalex.org/I74656192"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7869,"has_fulltext":false,"cited_by_count":85,"citation_normalized_percentile":{"value":0.90046257,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"27","issue":"12","first_page":"3374","last_page":"3389"},"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":0.9958999752998352,"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/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9926999807357788,"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/triad","display_name":"Triad (sociology)","score":0.7653130292892456},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7618733644485474},{"id":"https://openalex.org/keywords/closure","display_name":"Closure (psychology)","score":0.7024616599082947},{"id":"https://openalex.org/keywords/microblogging","display_name":"Microblogging","score":0.6541455388069153},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5272271633148193},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5080058574676514},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.5032429099082947},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4902229905128479},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.47313132882118225},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4653855860233307},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4475036859512329},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.44395825266838074},{"id":"https://openalex.org/keywords/social-network-analysis","display_name":"Social network analysis","score":0.4414312541484833},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4207799434661865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41966375708580017},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4073767066001892},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1171407401561737},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11051732301712036}],"concepts":[{"id":"https://openalex.org/C176038584","wikidata":"https://www.wikidata.org/wiki/Q626432","display_name":"Triad (sociology)","level":2,"score":0.7653130292892456},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7618733644485474},{"id":"https://openalex.org/C146834321","wikidata":"https://www.wikidata.org/wiki/Q2979672","display_name":"Closure (psychology)","level":2,"score":0.7024616599082947},{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.6541455388069153},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5272271633148193},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5080058574676514},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.5032429099082947},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4902229905128479},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.47313132882118225},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4653855860233307},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4475036859512329},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.44395825266838074},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.4414312541484833},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4207799434661865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41966375708580017},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4073767066001892},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1171407401561737},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11051732301712036},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tkde.2015.2453956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2015.2453956","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.696.3634","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.696.3634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://keg.cs.tsinghua.edu.cn/jietang/publications/TKDE15-Huang-et-al-triadclosuremain.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G1585103739","display_name":null,"funder_award_id":"61222212","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3412728407","display_name":null,"funder_award_id":"2014CB340506","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5087331674","display_name":"\u6295\u8d44\u7f51\u7edc\u5bf9\u65b0\u4f01\u4e1a\u7ee9\u6548\u4f5c\u7528\u673a\u5236\u7814\u7a76\u2014\u2014\u57fa\u4e8e\u5927\u6570\u636e\u7684\u793e\u4f1a\u7f51\u7edc\u5206\u6790","funder_award_id":"71372053","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G596920305","display_name":null,"funder_award_id":"2012CB316006","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8607386726","display_name":null,"funder_award_id":"20121088015","funder_id":"https://openalex.org/F4320322392","funder_display_name":"Tsinghua University"}],"funders":[{"id":"https://openalex.org/F4320320882","display_name":"Volkswagen Foundation","ror":"https://ror.org/03bsmfz84"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322183","display_name":"Huawei Technologies","ror":"https://ror.org/00cmhce21"},{"id":"https://openalex.org/F4320322392","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W82211948","https://openalex.org/W122652761","https://openalex.org/W185976202","https://openalex.org/W379337736","https://openalex.org/W934261879","https://openalex.org/W950821216","https://openalex.org/W1485625483","https://openalex.org/W1496357020","https://openalex.org/W1510073064","https://openalex.org/W1556758605","https://openalex.org/W1854214752","https://openalex.org/W1973556323","https://openalex.org/W1994618970","https://openalex.org/W1995907191","https://openalex.org/W2003707464","https://openalex.org/W2021012145","https://openalex.org/W2026417691","https://openalex.org/W2036248440","https://openalex.org/W2037933327","https://openalex.org/W2046641246","https://openalex.org/W2065130322","https://openalex.org/W2070265204","https://openalex.org/W2070805980","https://openalex.org/W2073415627","https://openalex.org/W2099862356","https://openalex.org/W2101196063","https://openalex.org/W2101585503","https://openalex.org/W2107569009","https://openalex.org/W2107678607","https://openalex.org/W2112896229","https://openalex.org/W2117071406","https://openalex.org/W2133990480","https://openalex.org/W2136284997","https://openalex.org/W2142517301","https://openalex.org/W2143893259","https://openalex.org/W2144683513","https://openalex.org/W2147880316","https://openalex.org/W2151078464","https://openalex.org/W2153624566","https://openalex.org/W2153943092","https://openalex.org/W2155186673","https://openalex.org/W2166531833","https://openalex.org/W2167467982","https://openalex.org/W2232943036","https://openalex.org/W2274257646","https://openalex.org/W2406281999","https://openalex.org/W2432978112","https://openalex.org/W2506235756","https://openalex.org/W2907515539","https://openalex.org/W2950265899","https://openalex.org/W3105562891","https://openalex.org/W3140656336","https://openalex.org/W3142588439","https://openalex.org/W3215037115","https://openalex.org/W4232932184","https://openalex.org/W4249875616","https://openalex.org/W4302600810","https://openalex.org/W6603239564","https://openalex.org/W6605018790","https://openalex.org/W6607575301","https://openalex.org/W6639055396","https://openalex.org/W6679990356","https://openalex.org/W6682082992","https://openalex.org/W6684308506","https://openalex.org/W6694486999","https://openalex.org/W6714003741"],"related_works":["https://openalex.org/W2120116197","https://openalex.org/W159653547","https://openalex.org/W2014390821","https://openalex.org/W3094514835","https://openalex.org/W2952662149","https://openalex.org/W2793616590","https://openalex.org/W2183090405","https://openalex.org/W2075666982","https://openalex.org/W2065835655","https://openalex.org/W3160699245"],"abstract_inverted_index":{"We":[0,49,80],"study":[1,64],"the":[2,18,44,52,75,107,113,121,126,138,142],"problem":[3,53],"of":[4,17,46,54,77,135,137,144],"group":[5],"formation":[6,76],"in":[7,32,97,133],"online":[8],"social":[9,72],"networks.":[10],"In":[11],"particular,":[12],"we":[13],"focus":[14],"on":[15],"one":[16],"most":[19],"important":[20],"human":[21],"groups-the":[22],"triad-and":[23],"try":[24],"to":[25,87,111],"understand":[26],"how":[27,66],"closed":[28,95],"triads":[29],"are":[30,104],"formed":[31],"dynamic":[33,99],"networks,":[34],"by":[35],"employing":[36],"data":[37],"from":[38],"a":[39,60,83,94,98],"large":[40,122],"microblogging":[41,123],"network":[42,69],"as":[43],"basis":[45],"our":[47],"study.":[48],"formally":[50],"define":[51],"triadic":[55,78,145],"closure":[56,146],"prediction":[57,143],"and":[58,71],"conduct":[59],"systematic":[61],"investigation.":[62],"The":[63],"reveals":[65],"user":[67],"demographics,":[68],"characteristics,":[70],"properties":[73],"influence":[74],"closure.":[79],"also":[81],"present":[82],"probabilistic":[84],"graphical":[85,109],"model":[86,110,140],"predict":[88],"whether":[89],"three":[90],"persons":[91],"will":[92],"form":[93],"triad":[96],"network.":[100],"Different":[101],"kernel":[102],"functions":[103],"incorporated":[105],"into":[106],"proposed":[108,139],"quantify":[112],"similarity":[114],"between":[115],"triads.":[116],"Our":[117],"experimental":[118],"results":[119],"with":[120],"dataset":[124],"demonstrate":[125],"effectiveness":[127],"(+10":[128],"percent":[129],"over":[130],"alternative":[131],"methods":[132],"terms":[134],"F1-Score)":[136],"for":[141],"formation.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3}],"updated_date":"2026-07-20T07:56:41.581041","created_date":"2025-10-10T00:00:00"}