{"id":"https://openalex.org/W3201164401","doi":"https://doi.org/10.1142/s0218194021500339","title":"Construction and Analysis of Scientific and Technological Personnel Relational Graph for Group Recognition","display_name":"Construction and Analysis of Scientific and Technological Personnel Relational Graph for Group Recognition","publication_year":2021,"publication_date":"2021-08-01","ids":{"openalex":"https://openalex.org/W3201164401","doi":"https://doi.org/10.1142/s0218194021500339","mag":"3201164401"},"language":"en","primary_location":{"id":"doi:10.1142/s0218194021500339","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218194021500339","pdf_url":null,"source":{"id":"https://openalex.org/S131442419","display_name":"International Journal of Software Engineering and Knowledge Engineering","issn_l":"0218-1940","issn":["0218-1940","1793-6403"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Software Engineering and Knowledge 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/A5050960734","display_name":"Dongju Yang","orcid":"https://orcid.org/0000-0003-1657-7130"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dongju Yang","raw_affiliation_strings":["Beijing Key Laboratory on Integration and Analysis of Large-scale Stream Data, Data Engineering Institute, North China University of Technology, Beijing 100144, P. R. China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory on Integration and Analysis of Large-scale Stream Data, Data Engineering Institute, North China University of Technology, Beijing 100144, P. R. China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100638601","display_name":"Xiaojian Wang","orcid":"https://orcid.org/0000-0002-5738-7547"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojian Wang","raw_affiliation_strings":["Beijing Key Laboratory on Integration and Analysis of Large-scale Stream Data, Data Engineering Institute, North China University of Technology, Beijing 100144, P. R. China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory on Integration and Analysis of Large-scale Stream Data, Data Engineering Institute, North China University of Technology, Beijing 100144, P. R. China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058264803","display_name":"Hanshuo Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanshuo Zhang","raw_affiliation_strings":["Beijing Key Laboratory on Integration and Analysis of Large-scale Stream Data, Data Engineering Institute, North China University of Technology, Beijing 100144, P. R. China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory on Integration and Analysis of Large-scale Stream Data, Data Engineering Institute, North China University of Technology, Beijing 100144, P. R. China","institution_ids":["https://openalex.org/I1456306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5050960734"],"corresponding_institution_ids":["https://openalex.org/I1456306"],"apc_list":null,"apc_paid":null,"fwci":0.2754,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62760784,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"31","issue":"08","first_page":"1069","last_page":"1098"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11719","display_name":"Data Quality and Management","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9940000176429749,"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":0.6548597812652588},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5931773781776428},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5402554869651794},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.4789370000362396},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.44547298550605774},{"id":"https://openalex.org/keywords/scientific-management","display_name":"Scientific management","score":0.41126441955566406},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4078052341938019},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.40063852071762085},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38988086581230164},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2196858525276184},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1842806041240692},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.09285536408424377}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6548597812652588},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5931773781776428},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5402554869651794},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.4789370000362396},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.44547298550605774},{"id":"https://openalex.org/C754379","wikidata":"https://www.wikidata.org/wiki/Q203549","display_name":"Scientific management","level":2,"score":0.41126441955566406},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4078052341938019},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.40063852071762085},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38988086581230164},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2196858525276184},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1842806041240692},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.09285536408424377},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218194021500339","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218194021500339","pdf_url":null,"source":{"id":"https://openalex.org/S131442419","display_name":"International Journal of Software Engineering and Knowledge Engineering","issn_l":"0218-1940","issn":["0218-1940","1793-6403"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Software Engineering and Knowledge Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1590600725","https://openalex.org/W1966161959","https://openalex.org/W2156612354","https://openalex.org/W2158899491","https://openalex.org/W2296283641","https://openalex.org/W2339543475","https://openalex.org/W2516963103","https://openalex.org/W2524949478","https://openalex.org/W2621229345","https://openalex.org/W2780724823","https://openalex.org/W2799188059","https://openalex.org/W2946787963","https://openalex.org/W2991168777","https://openalex.org/W3005768886","https://openalex.org/W3015158377"],"related_works":["https://openalex.org/W2358812761","https://openalex.org/W2329452785","https://openalex.org/W2356380379","https://openalex.org/W2364562957","https://openalex.org/W3027915305","https://openalex.org/W2364808845","https://openalex.org/W2363925233","https://openalex.org/W630570861","https://openalex.org/W2556414219","https://openalex.org/W3201164401"],"abstract_inverted_index":{"The":[0,62,148],"key":[1],"to":[2,11,49,92],"the":[3,13,27,34,51,76,86,111,122,125,131,152],"in-depth":[4],"management":[5],"of":[6,16,36,53,65,113],"science":[7],"and":[8,18,21,41,55,67,72,78,81,88,115,120,139,142],"technology":[9],"is":[10],"model":[12,64],"behavior":[14],"characteristics":[15],"scientific":[17,40,54,66,114],"technological":[19,42,56,68,116],"personnel":[20,57,69,117],"then":[22],"find":[23],"groups":[24],"by":[25,118],"analyzing":[26,121],"diverse":[28],"associations":[29],"among":[30,39],"them.":[31],"Aiming":[32],"at":[33],"analysis":[35],"team":[37],"relationship":[38,63,79],"personnel,":[43],"this":[44,129,156],"paper":[45,157],"proposed":[46,132,154],"a":[47,94,159],"method":[48,133,153],"recognize":[50],"group":[52,112],"based":[58,73,103],"on":[59,74,85,104,136],"relational":[60,95,126],"graph.":[61,96,127],"was":[70,106,134],"designed,":[71],"this,":[75],"entity":[77],"recognition":[80],"extraction":[82],"are":[83],"performed":[84],"structured":[87],"unstructured":[89],"source":[90],"data":[91,123],"construct":[93],"An":[97],"improved":[98],"frequent":[99],"item":[100],"mining":[101,119],"algorithm":[102],"Hadoop":[105],"proposed,":[107],"which":[108],"enabled":[109],"getting":[110],"in":[124,155,162],"In":[128],"paper,":[130],"experimented":[135],"both":[137],"open":[138],"private":[140],"datasets,":[141],"compared":[143],"with":[144],"several":[145],"classical":[146],"algorithms.":[147],"results":[149],"showed":[150],"that":[151],"has":[158],"significant":[160],"improvement":[161],"execution":[163],"efficiency.":[164]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}