{"id":"https://openalex.org/W4226097212","doi":"https://doi.org/10.1145/3498851.3498939","title":"Does Activeness Originate in Individuals or Groups? Analysis of the Interrelationships between Network Indices and Posts Using Multilevel Cross-Lagged Model","display_name":"Does Activeness Originate in Individuals or Groups? Analysis of the Interrelationships between Network Indices and Posts Using Multilevel Cross-Lagged Model","publication_year":2021,"publication_date":"2021-12-14","ids":{"openalex":"https://openalex.org/W4226097212","doi":"https://doi.org/10.1145/3498851.3498939"},"language":"en","primary_location":{"id":"doi:10.1145/3498851.3498939","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3498851.3498939","pdf_url":null,"source":{"id":"https://openalex.org/S4363608074","display_name":"IEEE/WIC/ACM International Conference on Web Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/WIC/ACM International Conference on Web Intelligence","raw_type":"proceedings-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/A5021182026","display_name":"Kenta Tsukatsune","orcid":"https://orcid.org/0000-0002-7623-1396"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kenta Tsukatsune","raw_affiliation_strings":["Tokyo Metropolitan University, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan University, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038450961","display_name":"Tatsuya Konishi","orcid":"https://orcid.org/0000-0002-2255-0156"},"institutions":[{"id":"https://openalex.org/I4210164495","display_name":"KDDI Research (Japan)","ror":"https://ror.org/05qsqt662","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210164495"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tatsuya Konishi","raw_affiliation_strings":["KDDI Research, Inc., Japan"],"affiliations":[{"raw_affiliation_string":"KDDI Research, Inc., Japan","institution_ids":["https://openalex.org/I4210164495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031591379","display_name":"Yuto Mizutani","orcid":"https://orcid.org/0009-0005-8274-4605"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuto Mizutani","raw_affiliation_strings":["Unipos Inc., Japan"],"affiliations":[{"raw_affiliation_string":"Unipos Inc., Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061479875","display_name":"Mori Kurokawa","orcid":"https://orcid.org/0000-0003-4544-0643"},"institutions":[{"id":"https://openalex.org/I4210164495","display_name":"KDDI Research (Japan)","ror":"https://ror.org/05qsqt662","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210164495"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mori Kurokawa","raw_affiliation_strings":["KDDI Research, Inc., Japan"],"affiliations":[{"raw_affiliation_string":"KDDI Research, Inc., Japan","institution_ids":["https://openalex.org/I4210164495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038823315","display_name":"Shuichiro Haruta","orcid":"https://orcid.org/0000-0002-0695-9963"},"institutions":[{"id":"https://openalex.org/I4210164495","display_name":"KDDI Research (Japan)","ror":"https://ror.org/05qsqt662","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210164495"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shuichiro Haruta","raw_affiliation_strings":["KDDI Research, Inc., Japan"],"affiliations":[{"raw_affiliation_string":"KDDI Research, Inc., Japan","institution_ids":["https://openalex.org/I4210164495"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051523779","display_name":"Tomoaki Saito","orcid":"https://orcid.org/0009-0008-1504-9823"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tomoaki Saito","raw_affiliation_strings":["Unipos Inc., Japan"],"affiliations":[{"raw_affiliation_string":"Unipos Inc., Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5021182026"],"corresponding_institution_ids":["https://openalex.org/I69740276"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31949458,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"117","last_page":"125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9837999939918518,"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":0.9837999939918518,"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/T11239","display_name":"Social Capital and Networks","score":0.9821000099182129,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":0.9639999866485596,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multilevel-model","display_name":"Multilevel model","score":0.5254865288734436},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.424961656332016},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.40891605615615845},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3745538592338562},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.33179599046707153},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25385579466819763}],"concepts":[{"id":"https://openalex.org/C53059260","wikidata":"https://www.wikidata.org/wiki/Q374758","display_name":"Multilevel model","level":2,"score":0.5254865288734436},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.424961656332016},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.40891605615615845},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3745538592338562},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.33179599046707153},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25385579466819763}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3498851.3498939","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3498851.3498939","pdf_url":null,"source":{"id":"https://openalex.org/S4363608074","display_name":"IEEE/WIC/ACM International Conference on Web Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/WIC/ACM International Conference on Web Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1973155099","https://openalex.org/W1981753995","https://openalex.org/W1982339547","https://openalex.org/W1988938785","https://openalex.org/W2007200898","https://openalex.org/W2024920024","https://openalex.org/W2034058480","https://openalex.org/W2090351802","https://openalex.org/W2104554137","https://openalex.org/W2114589588","https://openalex.org/W2127471749","https://openalex.org/W2181704313","https://openalex.org/W2519290916","https://openalex.org/W2579937878","https://openalex.org/W2587941773","https://openalex.org/W2718632775","https://openalex.org/W2758618033","https://openalex.org/W2952961382","https://openalex.org/W3119197280","https://openalex.org/W4298269138"],"related_works":["https://openalex.org/W351505","https://openalex.org/W8210661","https://openalex.org/W12791606","https://openalex.org/W555121","https://openalex.org/W451563","https://openalex.org/W13851640","https://openalex.org/W690446","https://openalex.org/W18017258","https://openalex.org/W1042410","https://openalex.org/W17194501"],"abstract_inverted_index":{"Web":[0],"services":[1],"allow":[2],"users":[3],"to":[4,7,20,94],"send":[5],"messages":[6],"each":[8],"other.":[9],"Thus,":[10],"exploring":[11],"the":[12,21,44,47,51,56,63,77,99],"structural":[13],"features":[14],"of":[15,24,46,53,62,79,156],"human":[16,82],"networks":[17],"that":[18,113,133,160],"contribute":[19],"increased":[22],"activity":[23],"a":[25,35,111,119,142,151],"service":[26],"is":[27,92],"both":[28],"an":[29,148],"academic":[30],"question":[31],"for":[32,38,131],"researchers":[33],"and":[34,90,109,118,141,150,165],"management":[36],"interest":[37],"companies.":[39],"However,":[40],"some":[41],"indices":[42,80,87,108,132],"reflecting":[43],"characteristics":[45,52,74],"network":[48,86,127],"structure":[49],"show":[50,60,159],"individuals":[54],"in":[55,73,172],"network,":[57],"while":[58],"others":[59],"those":[61],"entire":[64],"group":[65],"(network).":[66],"The":[67,154],"analyst":[68],"must":[69],"understand":[70],"these":[71],"differences":[72],"before":[75],"measuring":[76],"influence":[78],"on":[81,147,169],"activity.":[83],"In":[84,103],"addition,":[85],"are":[88],"interrelated,":[89],"it":[91],"difficult":[93],"determine":[95],"which":[96],"index":[97,144],"has":[98,163],"true":[100],"causal":[101],"effect.":[102],"this":[104],"study,":[105],"we":[106,129],"select":[107],"apply":[110],"method":[112],"combines":[114],"multilevel":[115],"SEM":[116],"(ML-SEM)":[117],"cross-lagged":[120],"model":[121],"(CLM).":[122],"Using":[123],"Unipos":[124],"data":[125],"with":[126],"structures,":[128],"search":[130],"affect":[134],"monthly":[135],"post":[136,170],"frequency":[137,171],"from":[138],"among":[139],"centrality":[140,162],"scale-free":[143],"calculated":[145],"based":[146],"individual":[149],"group,":[152],"respectively.":[153],"results":[155],"our":[157],"analysis":[158],"closeness":[161],"consistent":[164],"significant":[166],"positive":[167],"effects":[168],"subsequent":[173],"periods.":[174]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
