{"id":"https://openalex.org/W4392368621","doi":"https://doi.org/10.1093/comjnl/bxae020","title":"BotGSL: Twitter Bot Detection with Graph Structure Learning","display_name":"BotGSL: Twitter Bot Detection with Graph Structure Learning","publication_year":2024,"publication_date":"2024-03-02","ids":{"openalex":"https://openalex.org/W4392368621","doi":"https://doi.org/10.1093/comjnl/bxae020"},"language":"en","primary_location":{"id":"doi:10.1093/comjnl/bxae020","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxae020","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Computer Journal","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/A5110501564","display_name":"Chuancheng Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuancheng Wei","raw_affiliation_strings":["School of Cyber Science and Engineering, Sichuan University , Chengdu 610065 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Sichuan University , Chengdu 610065 , China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109719776","display_name":"Gang Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Gang Liang","raw_affiliation_strings":["School of Cyber Science and Engineering, Sichuan University , Chengdu 610065 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Sichuan University , Chengdu 610065 , China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018919685","display_name":"Kexiang Yan","orcid":"https://orcid.org/0000-0003-1295-2626"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kexiang Yan","raw_affiliation_strings":["School of Cyber Science and Engineering, Sichuan University , Chengdu 610065 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Sichuan University , Chengdu 610065 , China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5109719776"],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":{"value":2635,"currency":"GBP","value_usd":3232},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02602305,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"67","issue":"7","first_page":"2486","last_page":"2497"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9998000264167786,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9998000264167786,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9990000128746033,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9952999949455261,"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":0.7096375226974487},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40806734561920166}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7096375226974487},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40806734561920166}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1093/comjnl/bxae020","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxae020","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Computer Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4223694219","display_name":null,"funder_award_id":"62162057","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1837843568","https://openalex.org/W2020754036","https://openalex.org/W2164441058","https://openalex.org/W2187089797","https://openalex.org/W2269924745","https://openalex.org/W2407789839","https://openalex.org/W2510717748","https://openalex.org/W2531563875","https://openalex.org/W2550819555","https://openalex.org/W2584798500","https://openalex.org/W2604314403","https://openalex.org/W2710240177","https://openalex.org/W2738273842","https://openalex.org/W2743104969","https://openalex.org/W2750779823","https://openalex.org/W2753241397","https://openalex.org/W2787296320","https://openalex.org/W2913153455","https://openalex.org/W2914336853","https://openalex.org/W2945822178","https://openalex.org/W2963707260","https://openalex.org/W2997788455","https://openalex.org/W3010115535","https://openalex.org/W3035419191","https://openalex.org/W3093744263","https://openalex.org/W3102083609","https://openalex.org/W3125182500","https://openalex.org/W3155564043","https://openalex.org/W3175498457","https://openalex.org/W3197022418","https://openalex.org/W3202403710","https://openalex.org/W4213147383","https://openalex.org/W4229334288","https://openalex.org/W4236157893","https://openalex.org/W4240802145","https://openalex.org/W4295312788","https://openalex.org/W4313532873","https://openalex.org/W4321485561","https://openalex.org/W4385245566","https://openalex.org/W4389523769","https://openalex.org/W6637006203","https://openalex.org/W6669121539","https://openalex.org/W6713944591","https://openalex.org/W6726873649","https://openalex.org/W6729581991","https://openalex.org/W6731838549","https://openalex.org/W6739901393","https://openalex.org/W6755207826","https://openalex.org/W6760045743","https://openalex.org/W6766978945","https://openalex.org/W6783243524","https://openalex.org/W6797452711","https://openalex.org/W6805143542","https://openalex.org/W6810996769","https://openalex.org/W6843886238","https://openalex.org/W6848740612","https://openalex.org/W6854032360","https://openalex.org/W6929481427"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Abstract":[0],"Twitter":[1],"bot":[2,95],"detection":[3,27,96,178],"is":[4,43,102,146],"an":[5,137],"important":[6,46],"and":[7,25,86,112,122,159,192],"meaningful":[8],"task.":[9],"Existing":[10],"methods":[11,32],"can":[12],"be":[13,81],"bypassed":[14],"by":[15,28,148],"the":[16,37,44,52,58,70,190],"latest":[17],"bots":[18,50],"that":[19,63],"disguise":[20],"themselves":[21],"as":[22],"genuine":[23],"users":[24,62,111],"evade":[26],"mimicking":[29],"them.":[30],"These":[31],"also":[33,188],"fail":[34],"to":[35,84,118,135],"leverage":[36],"clustering":[38],"tendencies":[39],"of":[40,194],"users,":[41],"which":[42,74],"most":[45],"feature":[47,125],"for":[48,67,77,165],"detecting":[49],"at":[51],"community":[53],"level.":[54],"Moreover,":[55],"they":[56],"neglect":[57],"implicit":[59,138],"relations":[60,132],"between":[61],"contain":[64],"crucial":[65],"clues":[66],"detection.":[68],"Furthermore,":[69],"user":[71,120,170],"relation":[72,139,144,150],"graphs,":[73],"are":[75,133,156],"essential":[76],"graph-based":[78],"methods,":[79,186],"may":[80],"unreliable":[82],"due":[83],"noise":[85],"incompleteness":[87],"in":[88],"datasets.":[89],"To":[90],"address":[91],"these":[92],"issues,":[93],"a":[94,107,124,142,162,175],"framework":[97,105,173],"with":[98,110,167],"graph":[99,109,127,145],"structure":[100],"learning":[101],"proposed.":[103],"The":[104,154,172],"constructs":[106],"heterogeneous":[108],"their":[113],"relations,":[114],"extracts":[115],"multiple":[116],"features":[117],"characterise":[119],"intent":[121],"establishes":[123],"similarity":[126],"using":[128],"metric":[129],"learning.":[130],"Implicit":[131],"discovered":[134],"derive":[136],"graph.":[140],"Additionally,":[141],"semantic":[143],"generated":[147],"aggregating":[149],"semantics":[151],"among":[152],"users.":[153],"graphs":[155],"then":[157],"fused":[158],"embedded":[160],"into":[161],"Graph":[163],"Transformer":[164],"training":[166],"partially":[168],"known":[169],"labels.":[171],"demonstrated":[174],"91.92%":[176],"average":[177],"accuracy":[179],"on":[180],"three":[181],"real-world":[182],"benchmark,":[183],"outperforming":[184],"state-of-the-art":[185],"while":[187],"showcasing":[189],"effectiveness":[191],"necessity":[193],"each":[195],"module.":[196]},"counts_by_year":[],"updated_date":"2026-06-16T07:32:37.131356","created_date":"2025-10-10T00:00:00"}