{"id":"https://openalex.org/W4408100147","doi":"https://doi.org/10.1109/tcss.2025.3543419","title":"HHG-Bot: A Hyperheterogeneous Graph-Based Twitter Bot Detection Model","display_name":"HHG-Bot: A Hyperheterogeneous Graph-Based Twitter Bot Detection Model","publication_year":2025,"publication_date":"2025-03-03","ids":{"openalex":"https://openalex.org/W4408100147","doi":"https://doi.org/10.1109/tcss.2025.3543419"},"language":"en","primary_location":{"id":"doi:10.1109/tcss.2025.3543419","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2025.3543419","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Social Systems","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/A5018085680","display_name":"Tianbo Wang","orcid":"https://orcid.org/0000-0002-0227-9557"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianbo Wang","raw_affiliation_strings":["School of Cyber Science and Technology, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0227-9557","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhao Wang","orcid":"https://orcid.org/0009-0002-5187-4536"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Wang","raw_affiliation_strings":["School of Cyber Science and Technology, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-5187-4536","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061012198","display_name":"Huacheng Li","orcid":"https://orcid.org/0000-0002-2943-7463"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huacheng Li","raw_affiliation_strings":["Key Laboratory of Beijing Network Technology, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2943-7463","affiliations":[{"raw_affiliation_string":"Key Laboratory of Beijing Network Technology, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035296513","display_name":"Chunhe Xia","orcid":"https://orcid.org/0000-0003-4424-8449"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunhe Xia","raw_affiliation_strings":["Key Laboratory of Beijing Network Technology, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4424-8449","affiliations":[{"raw_affiliation_string":"Key Laboratory of Beijing Network Technology, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111941995","display_name":"Chun Jiang Zhao","orcid":"https://orcid.org/0009-0008-5489-1108"},"institutions":[{"id":"https://openalex.org/I898250095","display_name":"Industrial and Commercial Bank of China","ror":"https://ror.org/02zcab046","country_code":"CN","type":"other","lineage":["https://openalex.org/I898250095"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun Zhao","raw_affiliation_strings":["Beijing Municipal Branch of Industrial and Commercial Bank of China (ICBC), Beijing, China"],"raw_orcid":"https://orcid.org/0009-0008-5489-1108","affiliations":[{"raw_affiliation_string":"Beijing Municipal Branch of Industrial and Commercial Bank of China (ICBC), Beijing, China","institution_ids":["https://openalex.org/I898250095"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":22.2935,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.99285964,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"12","issue":"5","first_page":"3416","last_page":"3430"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9987999796867371,"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":0.9987999796867371,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9854000210762024,"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":0.5389708876609802},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.41539251804351807},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3600301146507263},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3249301612377167},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2318149209022522}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5389708876609802},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.41539251804351807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3600301146507263},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3249301612377167},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2318149209022522}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcss.2025.3543419","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2025.3543419","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Social Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W176212337","https://openalex.org/W2020754036","https://openalex.org/W2158568356","https://openalex.org/W2263846226","https://openalex.org/W2269924745","https://openalex.org/W2393319904","https://openalex.org/W2604314403","https://openalex.org/W2607500032","https://openalex.org/W2724523750","https://openalex.org/W2787296320","https://openalex.org/W2915809541","https://openalex.org/W2945822178","https://openalex.org/W2963446712","https://openalex.org/W2963512530","https://openalex.org/W2997405397","https://openalex.org/W2997788455","https://openalex.org/W2998496395","https://openalex.org/W3010115535","https://openalex.org/W3011025032","https://openalex.org/W3041367927","https://openalex.org/W3175498457","https://openalex.org/W3176405886","https://openalex.org/W3192478068","https://openalex.org/W3197022418","https://openalex.org/W4213147383","https://openalex.org/W4224983022","https://openalex.org/W4291474301","https://openalex.org/W4294310652","https://openalex.org/W4320713074","https://openalex.org/W4388505202","https://openalex.org/W4393642631","https://openalex.org/W4394862701"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Detecting":[0],"Twitter":[1,48,134],"bots":[2],"is":[3],"essential":[4],"for":[5,47,132],"combating":[6],"misinformation":[7],"and":[8,23,28,116,130],"maintaining":[9],"the":[10,20,72,85,96,125],"integrity":[11],"of":[12,74,111,127],"online":[13],"social":[14],"networks.":[15],"Existing":[16],"methods":[17,108],"often":[18],"overlook":[19],"high-order":[21,68],"interactions":[22],"heterogeneous":[24,55],"relationships":[25],"among":[26],"users":[27],"tweets,":[29],"limiting":[30],"their":[31],"effectiveness":[32,126],"in":[33,109,137],"addressing":[34],"sophisticated":[35],"bot":[36,49,91],"behaviors.":[37],"This":[38],"article":[39],"introduces":[40],"HHG-Bot,":[41],"a":[42,60,80],"novel":[43],"hyper-heterogeneous":[44],"graph-based":[45],"framework":[46],"detection.":[50],"The":[51,122],"proposed":[52],"approach":[53],"integrates":[54],"graph":[56],"convolutional":[57],"networks":[58],"with":[59,139],"trainable":[61],"hypergraph":[62],"aggregation":[63],"model":[64],"to":[65],"capture":[66],"complex,":[67],"interactions.":[69],"To":[70],"overcome":[71],"challenge":[73],"labeled":[75,141],"data":[76],"scarcity,":[77],"HHG-Bot":[78,102],"employs":[79],"meta-learning":[81,131],"paradigm":[82],"that":[83,101],"enhances":[84],"model\u2019s":[86],"generalization":[87],"capability":[88],"across":[89],"different":[90],"types.":[92],"Experiments":[93],"conducted":[94],"on":[95],"Twibot-20":[97],"benchmark":[98],"dataset":[99],"demonstrate":[100],"achieves":[103],"state-of-the-art":[104],"performance,":[105],"surpassing":[106],"existing":[107],"terms":[110],"accuracy":[112],"(86.17%),":[113],"F1-score":[114],"(87.51%),":[115],"Matthews":[117],"correlation":[118],"coefficient":[119],"(MCC)":[120],"(71.75%).":[121],"results":[123],"validate":[124],"leveraging":[128],"hypergraphs":[129],"detecting":[133],"bots,":[135],"particularly":[136],"scenarios":[138],"limited":[140],"data.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}
