{"id":"https://openalex.org/W4360604749","doi":"https://doi.org/10.1109/icnc57223.2023.10074242","title":"Early Rumor Detection in Social Media Based on Graph Convolutional Networks","display_name":"Early Rumor Detection in Social Media Based on Graph Convolutional Networks","publication_year":2023,"publication_date":"2023-02-20","ids":{"openalex":"https://openalex.org/W4360604749","doi":"https://doi.org/10.1109/icnc57223.2023.10074242"},"language":"en","primary_location":{"id":"doi:10.1109/icnc57223.2023.10074242","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icnc57223.2023.10074242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Computing, Networking and Communications (ICNC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5067492464","display_name":"Niteesh Reddy Thota","orcid":null},"institutions":[{"id":"https://openalex.org/I43522216","display_name":"California State University, Sacramento","ror":"https://ror.org/03e26wv14","country_code":"US","type":"education","lineage":["https://openalex.org/I43522216"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Niteesh Reddy Thota","raw_affiliation_strings":["California State University,Department of Computer Science,Sacramento,CA,USA,95819"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"California State University,Department of Computer Science,Sacramento,CA,USA,95819","institution_ids":["https://openalex.org/I43522216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033228757","display_name":"Xiaoyan Sun","orcid":"https://orcid.org/0009-0002-2672-1159"},"institutions":[{"id":"https://openalex.org/I43522216","display_name":"California State University, Sacramento","ror":"https://ror.org/03e26wv14","country_code":"US","type":"education","lineage":["https://openalex.org/I43522216"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaoyan Sun","raw_affiliation_strings":["California State University,Department of Computer Science,Sacramento,CA,USA,95819"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"California State University,Department of Computer Science,Sacramento,CA,USA,95819","institution_ids":["https://openalex.org/I43522216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084217251","display_name":"Jun Dai","orcid":"https://orcid.org/0000-0002-6890-6429"},"institutions":[{"id":"https://openalex.org/I43522216","display_name":"California State University, Sacramento","ror":"https://ror.org/03e26wv14","country_code":"US","type":"education","lineage":["https://openalex.org/I43522216"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Dai","raw_affiliation_strings":["California State University,Department of Computer Science,Sacramento,CA,USA,95819"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"California State University,Department of Computer Science,Sacramento,CA,USA,95819","institution_ids":["https://openalex.org/I43522216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I43522216"],"apc_list":null,"apc_paid":null,"fwci":9.4708,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.97843486,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"516","last_page":"522"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9998999834060669,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9890999794006348,"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":0.9650999903678894,"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/rumor","display_name":"Rumor","score":0.9250478744506836},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8135433197021484},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6534092426300049},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6259164810180664},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5508053302764893},{"id":"https://openalex.org/keywords/social-graph","display_name":"Social graph","score":0.5268320441246033},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4603545069694519},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.41810327768325806},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4167824983596802},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.413823664188385},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3748834431171417},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.19569283723831177}],"concepts":[{"id":"https://openalex.org/C2780469804","wikidata":"https://www.wikidata.org/wiki/Q878352","display_name":"Rumor","level":2,"score":0.9250478744506836},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8135433197021484},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6534092426300049},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6259164810180664},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5508053302764893},{"id":"https://openalex.org/C2777522414","wikidata":"https://www.wikidata.org/wiki/Q648457","display_name":"Social graph","level":3,"score":0.5268320441246033},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4603545069694519},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.41810327768325806},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4167824983596802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.413823664188385},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3748834431171417},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.19569283723831177},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C39549134","wikidata":"https://www.wikidata.org/wiki/Q133080","display_name":"Public relations","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc57223.2023.10074242","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icnc57223.2023.10074242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Computing, Networking and Communications (ICNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1546111015","https://openalex.org/W1727350781","https://openalex.org/W1975594555","https://openalex.org/W2032897813","https://openalex.org/W2084591134","https://openalex.org/W2142869398","https://openalex.org/W2519887557","https://openalex.org/W2577888896","https://openalex.org/W2742144412","https://openalex.org/W2753727548","https://openalex.org/W2788235048","https://openalex.org/W2791544114","https://openalex.org/W2798787718","https://openalex.org/W2997128522","https://openalex.org/W3017380148","https://openalex.org/W3109142382"],"related_works":["https://openalex.org/W2372853429","https://openalex.org/W2793319716","https://openalex.org/W3110636174","https://openalex.org/W4210503589","https://openalex.org/W2810386322","https://openalex.org/W3086197249","https://openalex.org/W2735598854","https://openalex.org/W2784233313","https://openalex.org/W4390437572","https://openalex.org/W3088045328"],"abstract_inverted_index":{"As":[0],"a":[1,9,30,101,169,192],"popular":[2],"source":[3,149],"of":[4,24,76,84,110,121],"news,":[5],"social":[6,35,52],"media":[7],"provides":[8],"platform":[10],"to":[11,20,41,90,104,116,142,162,173],"spread":[12],"and":[13,38,48,69,79,92,123,150,155],"gather":[14],"information,":[15],"including":[16],"false":[17],"information":[18,25,78],"due":[19],"its":[21,129],"unrestricted":[22],"fashion":[23],"sharing.":[26],"Rumor":[27],"detection":[28],"is":[29,115,191],"trending":[31],"topic":[32],"in":[33,51,81],"the":[34,65,74,82,107,118,144,180,187],"networking":[36],"field,":[37],"remains":[39],"difficult":[40],"solve,":[42],"especially":[43],"challenged":[44],"by":[45],"massive":[46],"data":[47,94],"large":[49],"scale":[50],"networking.":[53],"Most":[54],"state-of-art":[55],"efforts":[56],"use":[57,83,137,168],"machine":[58],"learning":[59,194],"approaches:":[60],"hand-crafted":[61,85],"textual":[62],"features":[63,95,109,120],"from":[64],"dataset,":[66],"rumor":[67,70,133,145],"classification,":[68],"prediction.":[71],"However,":[72],"with":[73,148],"availability":[75],"abundant":[77],"unreliability":[80],"features,":[86],"models":[87],"are":[88],"expected":[89],"capture":[91,117],"leverage":[93],"dynamically.":[96],"This":[97,203],"project":[98],"demonstrates":[99],"such":[100],"model":[102,210],"implemented":[103],"work":[105],"on":[106,160],"dynamic":[108,125],"rumors.":[111,202],"Our":[112],"primary":[113],"goal":[114],"influential":[119],"rumors":[122,163,213],"learn":[124],"structures":[126,190],"built":[127],"over":[128,165],"propagation":[130,146],"for":[131,182],"early":[132],"detection.":[134],"Specifically,":[135],"we":[136,198,205],"Graph":[138],"Convolutional":[139],"Networks":[140],"(GCN)":[141],"represent":[143],"tree":[147],"response":[151],"posts":[152],"as":[153],"graphs,":[154],"update":[156],"node":[157],"representations":[158],"based":[159],"responses":[161],"discovered":[164],"time.":[166],"We":[167],"pattern":[170],"matching":[171],"algorithm":[172],"detect":[174],"similar":[175],"sub-graph":[176],"patterns":[177],"generated":[178],"across":[179],"graphs":[181],"efficient":[183,208],"structure":[184],"reconstruction.":[185],"Over":[186],"updated":[188],"graph":[189],"recursive":[193],"process":[195],"through":[196],"which":[197],"can":[199],"accurately":[200],"predict":[201],"way":[204],"deliver":[206],"an":[207],"working":[209],"that":[211],"predicts":[212],"earlier":[214],"than":[215],"existing":[216],"approaches.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
