{"id":"https://openalex.org/W3003194410","doi":"https://doi.org/10.1109/iscc47284.2019.8969773","title":"Quantifying Group Influence on Individuals in Online Social Networks","display_name":"Quantifying Group Influence on Individuals in Online Social Networks","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W3003194410","doi":"https://doi.org/10.1109/iscc47284.2019.8969773","mag":"3003194410"},"language":"en","primary_location":{"id":"doi:10.1109/iscc47284.2019.8969773","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc47284.2019.8969773","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Symposium on Computers and Communications (ISCC)","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/A5031547142","display_name":"Qing Meng","orcid":"https://orcid.org/0000-0001-7180-5736"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qing Meng","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045275291","display_name":"Junzhou Luo","orcid":"https://orcid.org/0000-0001-7518-4367"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junzhou Luo","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100461646","display_name":"Bo Liu","orcid":"https://orcid.org/0000-0002-3603-6617"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Liu","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072003807","display_name":"Xiangguo Sun","orcid":"https://orcid.org/0000-0002-2224-4634"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangguo Sun","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012384188","display_name":"Jiuxin Cao","orcid":"https://orcid.org/0000-0002-2448-6717"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiuxin Cao","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5031547142"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.1448,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.48806009,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9997000098228455,"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/T10557","display_name":"Social Media and Politics","score":0.9818000197410583,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.699387788772583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6126901507377625},{"id":"https://openalex.org/keywords/social-group","display_name":"Social group","score":0.5898504257202148},{"id":"https://openalex.org/keywords/social-influence","display_name":"Social influence","score":0.5279233455657959},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.46615585684776306},{"id":"https://openalex.org/keywords/group-behavior","display_name":"Group behavior","score":0.4411531090736389},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.430231511592865},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42063748836517334},{"id":"https://openalex.org/keywords/group-buying","display_name":"Group buying","score":0.4135028123855591},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.40439075231552124},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.3483772873878479},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34773221611976624},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.3056795001029968},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2377910614013672},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.11421459913253784}],"concepts":[{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.699387788772583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6126901507377625},{"id":"https://openalex.org/C180872759","wikidata":"https://www.wikidata.org/wiki/Q874405","display_name":"Social group","level":2,"score":0.5898504257202148},{"id":"https://openalex.org/C131158328","wikidata":"https://www.wikidata.org/wiki/Q1307337","display_name":"Social influence","level":2,"score":0.5279233455657959},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.46615585684776306},{"id":"https://openalex.org/C2986275291","wikidata":"https://www.wikidata.org/wiki/Q839578","display_name":"Group behavior","level":2,"score":0.4411531090736389},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.430231511592865},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42063748836517334},{"id":"https://openalex.org/C2776158436","wikidata":"https://www.wikidata.org/wiki/Q1126332","display_name":"Group buying","level":2,"score":0.4135028123855591},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.40439075231552124},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.3483772873878479},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34773221611976624},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.3056795001029968},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2377910614013672},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.11421459913253784},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscc47284.2019.8969773","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc47284.2019.8969773","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Symposium on Computers and Communications (ISCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W641132676","https://openalex.org/W1678889691","https://openalex.org/W1893058147","https://openalex.org/W2046989790","https://openalex.org/W2055032349","https://openalex.org/W2069646232","https://openalex.org/W2078106834","https://openalex.org/W2403022047","https://openalex.org/W2406281999","https://openalex.org/W2435982721","https://openalex.org/W2549848864","https://openalex.org/W2588509592","https://openalex.org/W2751547494","https://openalex.org/W2809583854","https://openalex.org/W2978422749","https://openalex.org/W3100172109","https://openalex.org/W3122139608","https://openalex.org/W4252796899","https://openalex.org/W6679822816","https://openalex.org/W6713208931","https://openalex.org/W6714003741"],"related_works":["https://openalex.org/W2373615771","https://openalex.org/W2374014899","https://openalex.org/W1884408018","https://openalex.org/W4229026484","https://openalex.org/W2972234397","https://openalex.org/W2756282140","https://openalex.org/W2312292178","https://openalex.org/W3022080565","https://openalex.org/W2791299923","https://openalex.org/W3154107122"],"abstract_inverted_index":{"According":[0],"to":[1,10,31,54,102,122,128,184],"social":[2,5,39,166],"psychology":[3,167],"studies,":[4],"networks":[6,40],"are":[7,19,159],"strongly":[8],"subject":[9],"group":[11,24,35,68,104,116,134,143,148],"influence;":[12],"that":[13,141],"is,":[14],"users'":[15],"behaviors":[16,110,126],"or":[17],"sentiment":[18],"primarily":[20,113],"influenced":[21],"by":[22,161],"their":[23],"environments.":[25],"But":[26],"only":[27],"a":[28,45,62],"few":[29],"studies":[30],"date":[32],"have":[33],"examined":[34],"influence":[36,57,132,144,149],"in":[37],"online":[38],"(OSNs).":[41],"In":[42],"this":[43],"paper,":[44],"Factor":[46],"Graph-based":[47],"Group":[48],"Influence":[49],"model":[50,100,121,145,179],"(F2GI)":[51],"is":[52],"proposed":[53],"depict":[55,147],"the":[56,93,98,108,112,133,154,190],"of":[58,76,79,115,156,192],"perceived":[59,162],"groups":[60,82,163],"on":[61,88,136],"user.":[63],"First,":[64],"we":[65,91,118],"analyze":[66],"individuals'":[67,124],"environments":[69],"and":[70,73,83,96,127,152,189],"propose":[71,97],"definitions":[72],"detecting":[74],"methods":[75],"two":[77],"types":[78],"groups:":[80],"following":[81],"interacting":[84],"groups.":[85],"Secondly,":[86],"based":[87],"these":[89],"groups,":[90],"quantity":[92],"groups'":[94],"features":[95],"F2GI":[99],"able":[101],"describe":[103],"influence.":[105],"Finally,":[106],"using":[107],"retweet":[109,125],"as":[111],"manifestations":[114],"influence,":[117],"apply":[119],"our":[120,142,178],"predict":[123,153],"validate":[129],"how":[130],"much":[131],"puts":[135],"individuals.":[137],"The":[138],"results":[139],"show":[140],"can":[146,180],"more":[150],"effectively":[151],"actions":[155],"users":[157],"who":[158],"affected":[160],"accurately":[164],"with":[165],"ideas":[168],"than":[169],"classical":[170],"machine":[171],"learning":[172],"methods.":[173],"We":[174],"believe":[175],"that,":[176],"moreover,":[177],"also":[181],"be":[182],"applied":[183],"marketing":[185],"strategies,":[186],"advertisement":[187],"strategies":[188],"prediction":[191],"public":[193],"opinion.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}
