{"id":"https://openalex.org/W4403128149","doi":"https://doi.org/10.1080/10618600.2024.2409789","title":"Network Embedding-based Directed Community Detection with Unknown Community Number","display_name":"Network Embedding-based Directed Community Detection with Unknown Community Number","publication_year":2024,"publication_date":"2024-10-04","ids":{"openalex":"https://openalex.org/W4403128149","doi":"https://doi.org/10.1080/10618600.2024.2409789"},"language":"en","primary_location":{"id":"doi:10.1080/10618600.2024.2409789","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10618600.2024.2409789","pdf_url":null,"source":{"id":"https://openalex.org/S76159266","display_name":"Journal of Computational and Graphical Statistics","issn_l":"1061-8600","issn":["1061-8600","1537-2715"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational and Graphical Statistics","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/A5065900832","display_name":"Qingzhao Zhang","orcid":"https://orcid.org/0000-0002-0688-0016"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingzhao Zhang","raw_affiliation_strings":["Department of Statistics and Data Science, School of Economics, Xiamen University","The Wang Yanan Institute for Studies in Economics, Xiamen University","Department of Statistics and Data Science, School of Economics, Xiamen University, Xiamen, China","The Wang Yanan Institute for Studies in Economics, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics and Data Science, School of Economics, Xiamen University","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"The Wang Yanan Institute for Studies in Economics, Xiamen University","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Department of Statistics and Data Science, School of Economics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"The Wang Yanan Institute for Studies in Economics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101061674","display_name":"Zhou Jinlong","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinlong Zhou","raw_affiliation_strings":["Department of Statistics and Data Science, School of Economics, Xiamen University","Department of Statistics and Data Science, School of Economics, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics and Data Science, School of Economics, Xiamen University","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Department of Statistics and Data Science, School of Economics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060917360","display_name":"Mingyang Ren","orcid":"https://orcid.org/0000-0002-8061-9940"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingyang Ren","raw_affiliation_strings":["School of Mathematical Sciences, Shanghai Jiao Tong University","School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-8061-9940","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5060917360"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12471069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":"3","first_page":"812","last_page":"823"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9979000091552734,"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":0.9979000091552734,"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":0.9749000072479248,"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"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9717000126838684,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/embedding","display_name":"Embedding","score":0.5422379374504089},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5073742270469666},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4119222164154053},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37448593974113464},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36783891916275024},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3342035412788391},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30691641569137573}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5422379374504089},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5073742270469666},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4119222164154053},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37448593974113464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36783891916275024},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3342035412788391},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30691641569137573}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10618600.2024.2409789","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10618600.2024.2409789","pdf_url":null,"source":{"id":"https://openalex.org/S76159266","display_name":"Journal of Computational and Graphical Statistics","issn_l":"1061-8600","issn":["1061-8600","1537-2715"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational and Graphical Statistics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2676361859","display_name":null,"funder_award_id":"71988101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1872749931","https://openalex.org/W1926081841","https://openalex.org/W1965125844","https://openalex.org/W1973207991","https://openalex.org/W1980096746","https://openalex.org/W2038949443","https://openalex.org/W2047309056","https://openalex.org/W2066459332","https://openalex.org/W2075287472","https://openalex.org/W2097266862","https://openalex.org/W2101802482","https://openalex.org/W2102907934","https://openalex.org/W2107904695","https://openalex.org/W2119998616","https://openalex.org/W2137916851","https://openalex.org/W2158535911","https://openalex.org/W2375070860","https://openalex.org/W2536263232","https://openalex.org/W2548898691","https://openalex.org/W2601596308","https://openalex.org/W2604272474","https://openalex.org/W2625748932","https://openalex.org/W2742510161","https://openalex.org/W2791984915","https://openalex.org/W2892012213","https://openalex.org/W2948646507","https://openalex.org/W2950568021","https://openalex.org/W2952710219","https://openalex.org/W2955965783","https://openalex.org/W2962919115","https://openalex.org/W2962947748","https://openalex.org/W2972410720","https://openalex.org/W2979535897","https://openalex.org/W2981913415","https://openalex.org/W2990138404","https://openalex.org/W2996039144","https://openalex.org/W3007611469","https://openalex.org/W3015166416","https://openalex.org/W3018460594","https://openalex.org/W3037365197","https://openalex.org/W3098306969","https://openalex.org/W3101919829","https://openalex.org/W3102176215","https://openalex.org/W3103925118","https://openalex.org/W3104833085","https://openalex.org/W3105603957","https://openalex.org/W3107044962","https://openalex.org/W3132088380","https://openalex.org/W3142744896","https://openalex.org/W3155633278","https://openalex.org/W3163028856","https://openalex.org/W3164091920","https://openalex.org/W3197998408","https://openalex.org/W3199990139","https://openalex.org/W3212414957","https://openalex.org/W3216212984","https://openalex.org/W3216528674","https://openalex.org/W4210284707","https://openalex.org/W4214932198","https://openalex.org/W4295126592","https://openalex.org/W4317535291","https://openalex.org/W6676274861"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Community":[0],"detection":[1,57],"of":[2,18,35,43,67,78,106,114,122,125,145,152],"network":[3,62,79,115],"analysis":[4],"plays":[5],"an":[6],"important":[7],"role":[8],"in":[9,13,112],"numerous":[10],"application":[11],"areas,":[12],"which":[14,74,140],"estimating":[15],"the":[16,33,41,60,65,76,86,96,107,123,142,146],"number":[17,42,66,124,151],"communities":[19,44,68],"is":[20,45,130],"a":[21,47,54,150],"fundamental":[22],"issue.":[23],"However,":[24],"many":[25],"existing":[26],"methods":[27],"focus":[28],"on":[29,132],"undirected":[30],"networks":[31,134],"ignoring":[32],"directionality":[34],"edges":[36],"or":[37],"unrealistically":[38],"assume":[39],"that":[40],"known":[46],"priori.":[48],"In":[49],"this":[50,157],"article,":[51],"we":[52],"develop":[53],"data-dependent":[55],"community":[56,71,118],"method":[58,109,129,148],"for":[59,156],"directed":[61,117],"to":[63],"determine":[64],"and":[69,81,88,94,120,135],"recover":[70],"structures":[72],"simultaneously,":[73],"absorbs":[75],"ideas":[77],"embedding":[80,85,97],"penalized":[82],"fusion":[83],"by":[84],"out-":[87],"in-nodes":[89],"into":[90],"low-dimensional":[91],"vector":[92],"space":[93],"forcing":[95],"vectors":[98],"toward":[99],"its":[100],"center.":[101],"The":[102,127],"asymptotic":[103],"consistency":[104],"properties":[105],"proposed":[108,128,147],"are":[110,159],"established":[111],"terms":[113],"embedding,":[116],"detection,":[119],"estimation":[121],"communities.":[126],"applied":[131],"synthetic":[133],"real":[136],"brain":[137],"functional":[138],"networks,":[139],"demonstrate":[141],"superior":[143],"performance":[144],"against":[149],"competitors.":[153],"Supplementary":[154],"materials":[155],"article":[158],"available":[160],"online.":[161]},"counts_by_year":[],"updated_date":"2026-07-27T08:26:11.824852","created_date":"2025-10-10T00:00:00"}