{"id":"https://openalex.org/W2789581544","doi":"https://doi.org/10.1002/cpe.4453","title":"Using triangles and latent factor cosine similarity prior to improve community detection in multi\u2010relational social networks","display_name":"Using triangles and latent factor cosine similarity prior to improve community detection in multi\u2010relational social networks","publication_year":2018,"publication_date":"2018-03-22","ids":{"openalex":"https://openalex.org/W2789581544","doi":"https://doi.org/10.1002/cpe.4453","mag":"2789581544"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1002/cpe.4453","pdf_url":null,"source":{"id":"https://openalex.org/S11065456","display_name":"Concurrency and Computation Practice and Experience","issn_l":"1532-0626","issn":["1532-0626","1532-0634"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5073457171","display_name":"Jianzhou Zhan","orcid":"https://orcid.org/0000-0001-8985-2573"},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianzhou Zhan","raw_affiliation_strings":["College of Engineering, Shantou University, Shantou, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Shantou University, Shantou, China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112568628","display_name":"Mei Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mei Sun","raw_affiliation_strings":["College of Engineering, Shantou University, Shantou, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Shantou University, Shantou, China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014994285","display_name":"Huidan Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huidan Wu","raw_affiliation_strings":["College of Engineering, Shantou University, Shantou, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Shantou University, Shantou, China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100530801","display_name":"Haojun Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haojun Sun","raw_affiliation_strings":["College of Engineering, Shantou University, Shantou, China","Haojun Sun, College of Engineering, Shantou University, Shantou 515063, China."],"affiliations":[{"raw_affiliation_string":"Haojun Sun, College of Engineering, Shantou University, Shantou 515063, China.","institution_ids":["https://openalex.org/I32574673"]},{"raw_affiliation_string":"College of Engineering, Shantou University, Shantou, China","institution_ids":["https://openalex.org/I32574673"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100530801"],"corresponding_institution_ids":["https://openalex.org/I32574673"],"apc_list":{"value":4740,"currency":"USD","value_usd":4740,"provenance":"doaj"},"apc_paid":null,"fwci":0.248,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":2,"citation_normalized_percentile":{"value":0.33558,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":70,"max":74},"biblio":{"volume":"30","issue":"16","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9981,"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":0.9981,"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/T12303","display_name":"Tensor decomposition and applications","score":0.9962,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9914,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.8172602},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6003126},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46313718}],"concepts":[{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.8172602},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6003126},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.59444714},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.56036377},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5042826},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46313718},{"id":"https://openalex.org/C178009071","wikidata":"https://www.wikidata.org/wiki/Q93344","display_name":"Trigonometric functions","level":2,"score":0.463117},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.42928827},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42840505},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.4213493},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40186155},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3932783},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.07441187},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1002/cpe.4453","pdf_url":null,"source":{"id":"https://openalex.org/S11065456","display_name":"Concurrency and Computation Practice and Experience","issn_l":"1532-0626","issn":["1532-0626","1532-0634"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.53}],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61170130"}],"datasets":[],"versions":[],"referenced_works_count":34,"referenced_works":["https://openalex.org/W1561458624","https://openalex.org/W1648113946","https://openalex.org/W1655843738","https://openalex.org/W1841189810","https://openalex.org/W1973178976","https://openalex.org/W1982322675","https://openalex.org/W1983578042","https://openalex.org/W1985625141","https://openalex.org/W1997320786","https://openalex.org/W2000289149","https://openalex.org/W2004843357","https://openalex.org/W2024165284","https://openalex.org/W2050680319","https://openalex.org/W205829674","https://openalex.org/W2059861509","https://openalex.org/W2074617510","https://openalex.org/W2080161383","https://openalex.org/W2095711515","https://openalex.org/W2097645701","https://openalex.org/W2127048411","https://openalex.org/W2133407824","https://openalex.org/W2134662941","https://openalex.org/W2229908198","https://openalex.org/W2281439988","https://openalex.org/W2295258851","https://openalex.org/W2427549761","https://openalex.org/W2559792965","https://openalex.org/W2560757445","https://openalex.org/W2594610177","https://openalex.org/W2963938117","https://openalex.org/W3100026424","https://openalex.org/W3102641634","https://openalex.org/W3110822120","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4312683641","https://openalex.org/W3027421045","https://openalex.org/W3013312691","https://openalex.org/W2953417386","https://openalex.org/W2576320324","https://openalex.org/W2389818373","https://openalex.org/W2220831889","https://openalex.org/W2056226831","https://openalex.org/W1948687848","https://openalex.org/W126212742"],"abstract_inverted_index":{"Summary":[0],"Community":[1],"detection":[2],"is":[3,81,94,172],"a":[4,58,82,97,132,142],"key":[5,98],"to":[6,26,30,47,71,115],"understanding":[7],"the":[8,31,37,87,124,156,159,162,168,207,210,214],"structure":[9],"of":[10,18,23,39,84,86,105,144,161,164,209,216],"complex":[11],"networks.":[12,92],"Communities,":[13],"or":[14],"clusters,":[15],"are":[16,111,153,202],"groups":[17],"vertices":[19],"having":[20],"higher":[21],"probability":[22],"being":[24],"connected":[25],"each":[27],"other":[28,34],"than":[29],"members":[32,107],"in":[33,108],"groups.":[35],"Considering":[36],"importance":[38],"triangle":[40,52],"structures,":[41],"we":[42,56,129,182],"first":[43],"propose":[44,57],"\u03c3":[45,176],"\u2010tensor":[46,177],"model":[48],"ordinary":[49],"relationships":[50,53],"and":[51,147,158,213],"simultaneously.":[54],"Then,":[55],"simple":[59],"but":[60],"effective":[61],"latent":[62,66,76,102,134,169],"factor":[63,67,77,136,170],"prior,":[64,70],"ie,":[65],"cosine":[68,78,116,165],"similarity":[69,79,117],"improve":[72],"community":[73,188],"detection.":[74],"The":[75],"prior":[80,121,212],"kind":[83],"statistics":[85],"well\u2010defined":[88],"synthetic":[89],"multi\u2010relational":[90],"social":[91],"It":[93],"based":[95],"on":[96,198],"observation":[99],"that":[100],"most":[101],"feature":[103,135],"factors":[104],"intra\u2010group":[106],"these":[109],"networks":[110],"highly":[112],"similar":[113],"according":[114],"measure.":[118],"Using":[119],"this":[120,192],"along":[122],"with":[123],"RESCAL":[125,145],"tensor":[126],"factorization":[127],"model,":[128,141,146,181],"can":[130],"obtain":[131],"superior":[133],"matrix.":[137],"Moreover,":[138],"N":[139,151,179],"\u2010RESCAL":[140,180],"variant":[143],"its":[148],"corresponding":[149],"algorithm":[150,186],"\u2010RESCAL\u2010ALS":[152],"proposed":[154,211,218],"for":[155,187],"simplicity":[157],"removal":[160],"limit":[163],"similarity.":[166],"Once":[167],"matrix":[171],"obtained":[173],"by":[174],"factorizing":[175],"using":[178],"apply":[183],"agglomerative":[184],"clustering":[185],"discovery.":[189],"We":[190],"call":[191],"framework":[193],"as":[194],"TNRA.":[195],"Experiment":[196],"results":[197],"several":[199],"real\u2010world":[200],"datasets":[201],"surprisingly":[203],"promising,":[204],"clearly":[205],"demonstrating":[206],"power":[208],"effectiveness":[215],"our":[217],"methods.":[219]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2789581544","counts_by_year":[{"year":2020,"cited_by_count":2}],"updated_date":"2024-12-17T13:04:00.638020","created_date":"2018-03-29"}