{"id":"https://openalex.org/W4402626892","doi":"https://doi.org/10.1109/tnse.2024.3463639","title":"A Seed Growth Algorithm for Local Clustering in Complex Networks","display_name":"A Seed Growth Algorithm for Local Clustering in Complex Networks","publication_year":2024,"publication_date":"2024-09-19","ids":{"openalex":"https://openalex.org/W4402626892","doi":"https://doi.org/10.1109/tnse.2024.3463639"},"language":"en","primary_location":{"id":"doi:10.1109/tnse.2024.3463639","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tnse.2024.3463639","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Network Science and 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/A5018541476","display_name":"Feng-Sheng Tsai","orcid":"https://orcid.org/0000-0002-1972-2471"},"institutions":[{"id":"https://openalex.org/I184693016","display_name":"China Medical University","ror":"https://ror.org/00v408z34","country_code":"TW","type":"education","lineage":["https://openalex.org/I184693016"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Feng-Sheng Tsai","raw_affiliation_strings":["Department of Biomedical Informatics, China Medical University, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, China Medical University, Taichung, Taiwan","institution_ids":["https://openalex.org/I184693016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108254935","display_name":"Sheng-Yi Hsu","orcid":null},"institutions":[{"id":"https://openalex.org/I160272722","display_name":"Fortune Institute of Technology","ror":"https://ror.org/036fkkq18","country_code":"TW","type":"education","lineage":["https://openalex.org/I160272722"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Sheng-Yi Hsu","raw_affiliation_strings":["Ever Fortune.AI Company, Ltd., Taichung, Taiwan","Ever Fortune.AI Co., Ltd., Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Ever Fortune.AI Company, Ltd., Taichung, Taiwan","institution_ids":["https://openalex.org/I160272722"]},{"raw_affiliation_string":"Ever Fortune.AI Co., Ltd., Taichung, Taiwan","institution_ids":["https://openalex.org/I160272722"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039271123","display_name":"Mau-Hsiang Shih","orcid":"https://orcid.org/0000-0001-5312-9631"},"institutions":[{"id":"https://openalex.org/I184693016","display_name":"China Medical University","ror":"https://ror.org/00v408z34","country_code":"TW","type":"education","lineage":["https://openalex.org/I184693016"]},{"id":"https://openalex.org/I4210126829","display_name":"China Medical University Hospital","ror":"https://ror.org/0368s4g32","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210126829"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Mau-Hsiang Shih","raw_affiliation_strings":["Research Center for Interneural Computing, China Medical University Hospital, China Medical University, Taichung, Taiwan","Research Center for Interneural Computing, China Medical University Hospital, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Research Center for Interneural Computing, China Medical University Hospital, China Medical University, Taichung, Taiwan","institution_ids":["https://openalex.org/I4210126829","https://openalex.org/I184693016"]},{"raw_affiliation_string":"Research Center for Interneural Computing, China Medical University Hospital, Taichung, Taiwan","institution_ids":["https://openalex.org/I4210126829","https://openalex.org/I184693016"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018541476"],"corresponding_institution_ids":["https://openalex.org/I184693016"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14567554,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":"6","first_page":"5878","last_page":"5891"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9650999903678894,"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":0.9650999903678894,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9641000032424927,"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"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9420999884605408,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.6606572270393372},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5470306873321533},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4679611623287201},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2648807764053345}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6606572270393372},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5470306873321533},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4679611623287201},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2648807764053345}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnse.2024.3463639","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tnse.2024.3463639","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Network Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5222530451","display_name":null,"funder_award_id":"CMU105-S-52","funder_id":"https://openalex.org/F4320324301","funder_display_name":"China Medical University"}],"funders":[{"id":"https://openalex.org/F4320324301","display_name":"China Medical University","ror":"https://ror.org/032d4f246"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W108727270","https://openalex.org/W1971421925","https://openalex.org/W1980347317","https://openalex.org/W2013013263","https://openalex.org/W2018758196","https://openalex.org/W2025543856","https://openalex.org/W2033456101","https://openalex.org/W2037705937","https://openalex.org/W2040092971","https://openalex.org/W2045864404","https://openalex.org/W2052842431","https://openalex.org/W2083818595","https://openalex.org/W2086254934","https://openalex.org/W2090891622","https://openalex.org/W2094674364","https://openalex.org/W2095189226","https://openalex.org/W2095293504","https://openalex.org/W2109469951","https://openalex.org/W2112090702","https://openalex.org/W2118608338","https://openalex.org/W2127048411","https://openalex.org/W2128366083","https://openalex.org/W2135512436","https://openalex.org/W2146591355","https://openalex.org/W2151936673","https://openalex.org/W2154851992","https://openalex.org/W2156718197","https://openalex.org/W2159407085","https://openalex.org/W2160938187","https://openalex.org/W2164928285","https://openalex.org/W2387462954","https://openalex.org/W2604942799","https://openalex.org/W2737388338","https://openalex.org/W2766650025","https://openalex.org/W2767834929","https://openalex.org/W2792690596","https://openalex.org/W2897979119","https://openalex.org/W2940764256","https://openalex.org/W2951006102","https://openalex.org/W2951271819","https://openalex.org/W2962756421","https://openalex.org/W2963410212","https://openalex.org/W2964214140","https://openalex.org/W2964306489","https://openalex.org/W3093943311","https://openalex.org/W4292081303","https://openalex.org/W4312512934","https://openalex.org/W6607735250","https://openalex.org/W6740158254","https://openalex.org/W6756027692"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"A":[0],"seed":[1],"growth":[2],"algorithm":[3],"based":[4],"on":[5,85,111,146],"a":[6,140,144,188],"local":[7],"connectivity":[8],"rule":[9],"for":[10,143],"cluster":[11,22,47,57,101,107],"formation":[12],"in":[13,166,180,187],"complex":[14],"networks":[15],"is":[16,66,108],"introduced.":[17],"That":[18],"accompanies":[19],"with":[20],"the":[21,25,30,35,40,43,46,56,61,69,76,86,95,99,104,115,119,126,131,135,147,155,167,174],"normalization":[23],"algorithm,":[24],"parameter":[26],"determination":[27],"process,":[28,33],"and":[29,38,163,178],"pseudocluster":[31],"inference":[32],"forming":[34],"coherent":[36,77,120],"algorithms":[37,78,121],"formalizing":[39],"categories":[41],"within":[42],"realm":[44],"of":[45,64,98,170,176,191,193],"space.":[48],"The":[49],"prime":[50,70,100,127],"clusters":[51,65,128],"can":[52,122],"be":[53],"extracted":[54],"from":[55],"space,":[58],"so":[59],"that":[60,94,118],"overlapping":[62,87,105,136],"complexity":[63],"confined":[67],"to":[68,83,103,185],"clusters.":[71,137],"To":[72],"decide":[73],"unequivocally":[74],"whether":[75],"are":[79],"efficient,":[80],"we":[81],"have":[82],"simulate":[84],"stochastic":[88],"block":[89],"networks.":[90],"Our":[91],"simulation":[92,145],"shows":[93],"dice":[96],"coefficient":[97],"corresponding":[102],"target":[106],"0.978\u00b1":[109],"0.024":[110],"average.":[112],"It":[113,138],"decodes":[114],"underlying":[116],"meaning":[117],"efficiently":[123],"search":[124],"out":[125],"containing":[129],"almost":[130],"same":[132],"nodes":[133],"as":[134],"provides":[139],"firm":[141],"foundation":[142],"<italic":[148],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[149],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Caenorhabditis":[150],"elegans</i>":[151],"neuronal":[152],"network,":[153],"unraveling":[154],"neurons":[156],"DD04,":[157],"PDB,":[158],"VA08,":[159],"VB06,":[160],"VB07,":[161],"VD07,":[162],"VD08":[164],"lying":[165],"major":[168],"overlap":[169],"clusters,":[171],"among":[172],"them":[173],"ablation":[175],"DD04":[177],"PDB":[179],"biological":[181],"experiments":[182],"has":[183],"shown":[184],"result":[186],"pronounced":[189],"loss":[190],"controllability":[192],"motor":[194],"behavior.":[195]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
