{"id":"https://openalex.org/W4382203328","doi":"https://doi.org/10.1109/tkde.2023.3290095","title":"Semi-Supervised Local Community Detection","display_name":"Semi-Supervised Local Community Detection","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4382203328","doi":"https://doi.org/10.1109/tkde.2023.3290095"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2023.3290095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3290095","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/A5100646551","display_name":"Ni Li","orcid":"https://orcid.org/0000-0003-0178-3839"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Ni","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, Anhui, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109617957","display_name":"Junnan Ge","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junnan Ge","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, Anhui, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430650","display_name":"Yiwen Zhang","orcid":"https://orcid.org/0000-0001-8709-1088"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiwen Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, Anhui, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001184471","display_name":"Wenjian Luo","orcid":"https://orcid.org/0000-0002-8357-1655"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjian Luo","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051706630","display_name":"Victor S. Sheng","orcid":"https://orcid.org/0000-0003-4960-174X"},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Victor S. Sheng","raw_affiliation_strings":["Department of Computer Science, Texas Tech University, Lubbock, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Texas Tech University, Lubbock, TX, USA","institution_ids":["https://openalex.org/I12315562"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100646551"],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":2.1695,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.86710599,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9891999959945679,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9890000224113464,"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/computer-science","display_name":"Computer science","score":0.7778957486152649},{"id":"https://openalex.org/keywords/traverse","display_name":"Traverse","score":0.6950429677963257},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5989274382591248},{"id":"https://openalex.org/keywords/local-community","display_name":"Local community","score":0.589615523815155},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5491825938224792},{"id":"https://openalex.org/keywords/community-structure","display_name":"Community structure","score":0.5232916474342346},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49329203367233276},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44119638204574585},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4251844584941864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36693018674850464},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2205481231212616},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10753011703491211},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09714215993881226},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07712447643280029}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7778957486152649},{"id":"https://openalex.org/C176809094","wikidata":"https://www.wikidata.org/wiki/Q15401496","display_name":"Traverse","level":2,"score":0.6950429677963257},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5989274382591248},{"id":"https://openalex.org/C2779455803","wikidata":"https://www.wikidata.org/wiki/Q490933","display_name":"Local community","level":2,"score":0.589615523815155},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5491825938224792},{"id":"https://openalex.org/C133079900","wikidata":"https://www.wikidata.org/wiki/Q5155065","display_name":"Community structure","level":2,"score":0.5232916474342346},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49329203367233276},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44119638204574585},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4251844584941864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36693018674850464},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2205481231212616},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10753011703491211},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09714215993881226},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07712447643280029},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2023.3290095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3290095","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1458652123","https://openalex.org/W1576213419","https://openalex.org/W1949719358","https://openalex.org/W1955749066","https://openalex.org/W1966286510","https://openalex.org/W1971421925","https://openalex.org/W2007572995","https://openalex.org/W2016273060","https://openalex.org/W2084309732","https://openalex.org/W2095072199","https://openalex.org/W2095293504","https://openalex.org/W2101805214","https://openalex.org/W2122964432","https://openalex.org/W2125895010","https://openalex.org/W2131681506","https://openalex.org/W2139694940","https://openalex.org/W2147286743","https://openalex.org/W2153959628","https://openalex.org/W2155461593","https://openalex.org/W2166344835","https://openalex.org/W2224594862","https://openalex.org/W2432978112","https://openalex.org/W2557489574","https://openalex.org/W2604795503","https://openalex.org/W2604868674","https://openalex.org/W2620315948","https://openalex.org/W2644341057","https://openalex.org/W2754484231","https://openalex.org/W2789631796","https://openalex.org/W2794141977","https://openalex.org/W2797417972","https://openalex.org/W2898417771","https://openalex.org/W2907760765","https://openalex.org/W2909291893","https://openalex.org/W2912917402","https://openalex.org/W2914836224","https://openalex.org/W2963455014","https://openalex.org/W2969540496","https://openalex.org/W2976688833","https://openalex.org/W2998154301","https://openalex.org/W3000439699","https://openalex.org/W3004718422","https://openalex.org/W3016673788","https://openalex.org/W3017023219","https://openalex.org/W3081199232","https://openalex.org/W3093860674","https://openalex.org/W3099768174","https://openalex.org/W3100151116","https://openalex.org/W3161357135","https://openalex.org/W3184141547","https://openalex.org/W3185484565","https://openalex.org/W3201384026","https://openalex.org/W4205141462","https://openalex.org/W4213450471","https://openalex.org/W4220753972","https://openalex.org/W4225492775","https://openalex.org/W6628717828","https://openalex.org/W6634338208"],"related_works":["https://openalex.org/W2377402383","https://openalex.org/W2380835401","https://openalex.org/W2381912691","https://openalex.org/W2350381577","https://openalex.org/W2353618196","https://openalex.org/W2348074676","https://openalex.org/W2098964748","https://openalex.org/W2045864404","https://openalex.org/W252900523","https://openalex.org/W4206022723"],"abstract_inverted_index":{"Owing":[0],"to":[1,68,86,123,161,179],"the":[2,16,42,65,88,100,104,129,134,140,163,167,171,176,181,184],"lack":[3],"of":[4,8,18,32,152,158,183],"a":[5,45,58,77,93,110],"universal":[6],"definition":[7],"communities,":[9,23],"some":[10,35,148],"semi-supervised":[11,53],"community":[12,19,43,90,137],"detection":[13,138],"approaches":[14,54],"learn":[15],"concept":[17],"structures":[20],"from":[21],"known":[22,125,149,154,168],"and":[24,72,84,170],"then":[25],"dig":[26],"out":[27],"communities":[28,49,71,150,169],"using":[29],"learned":[30],"concepts":[31],"communities.":[33,126,155],"In":[34,117],"cases,":[36],"users":[37],"are":[38],"only":[39],"interested":[40],"in":[41],"containing":[44],"given":[46,59,94,105],"node.":[47,60,106],"However,":[48],"detected":[50,172],"by":[51,175],"these":[52,62],"may":[55],"not":[56],"contain":[57],"Besides,":[61],"methods":[63],"traverse":[64],"entire":[66],"network":[67,102],"detect":[69],"many":[70],"cost":[73],"more":[74],"resources":[75],"than":[76],"local":[78,89,101],"algorithm.":[79],"Therefore,":[80],"it":[81],"is":[82,160],"necessary":[83],"meaningful":[85],"find":[87],"that":[91,189],"contains":[92],"node":[95],"with":[96,139],"prior":[97,120],"information":[98,121],"on":[99,194],"around":[103],"We":[107],"call":[108],"this":[109,118],"Semi-supervised":[111,135],"Local":[112,136],"Community":[113],"Detection":[114],"(SLCD)":[115],"problem.":[116],"paper,":[119],"refers":[122],"certain":[124],"To":[127],"address":[128],"SLCD":[130],"problem,":[131],"we":[132],"propose":[133],"Structural":[141],"Similarity":[142],"algorithm,":[143],"called":[144],"SLSS,":[145],"which":[146],"uses":[147],"instead":[151],"all":[153],"The":[156],"idea":[157],"SLSS":[159,190],"use":[162],"structural":[164],"similarity":[165],"between":[166],"community,":[173],"calculated":[174],"graph":[177],"kernel,":[178],"guide":[180],"expansion":[182],"community.":[185],"Experimental":[186],"results":[187],"show":[188],"outperforms":[191],"other":[192],"algorithms":[193],"six":[195],"real-world":[196],"datasets.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
