{"id":"https://openalex.org/W4386509045","doi":"https://doi.org/10.1145/3605731.3608959","title":"Coordinated Botnet Detection in Social Networks via Clustering Analysis","display_name":"Coordinated Botnet Detection in Social Networks via Clustering Analysis","publication_year":2023,"publication_date":"2023-08-07","ids":{"openalex":"https://openalex.org/W4386509045","doi":"https://doi.org/10.1145/3605731.3608959"},"language":"en","primary_location":{"id":"doi:10.1145/3605731.3608959","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3605731.3608959","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 52nd International Conference on Parallel Processing Workshops","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3605731.3608959","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092769090","display_name":"Preston Piercey","orcid":"https://orcid.org/0009-0008-4070-0278"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Preston Piercey","raw_affiliation_strings":["Texas A&M University, USA"],"affiliations":[{"raw_affiliation_string":"Texas A&M University, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046256174","display_name":"Roger Pearce","orcid":"https://orcid.org/0009-0000-6449-6568"},"institutions":[{"id":"https://openalex.org/I1282311441","display_name":"Lawrence Livermore National Laboratory","ror":"https://ror.org/041nk4h53","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282311441","https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210138311"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roger Pearce","raw_affiliation_strings":["Lawrence Livermore National Laboratory, USA"],"affiliations":[{"raw_affiliation_string":"Lawrence Livermore National Laboratory, USA","institution_ids":["https://openalex.org/I1282311441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046315164","display_name":"Nate Veldt","orcid":"https://orcid.org/0000-0002-0117-3304"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nate Veldt","raw_affiliation_strings":["Texas A&M University, USA"],"affiliations":[{"raw_affiliation_string":"Texas A&M University, USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5092769090"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13349296,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"192","last_page":"196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11644","display_name":"Spam and Phishing Detection","score":0.9977999925613403,"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":0.9966999888420105,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/botnet","display_name":"Botnet","score":0.9363940954208374},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7231844067573547},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6439610123634338},{"id":"https://openalex.org/keywords/social-network-analysis","display_name":"Social network analysis","score":0.4597182273864746},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.41232171654701233},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.32512620091438293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30190765857696533},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.17749500274658203},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.16158542037010193},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.1377795934677124}],"concepts":[{"id":"https://openalex.org/C22735295","wikidata":"https://www.wikidata.org/wiki/Q317671","display_name":"Botnet","level":3,"score":0.9363940954208374},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7231844067573547},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6439610123634338},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.4597182273864746},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.41232171654701233},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.32512620091438293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30190765857696533},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.17749500274658203},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.16158542037010193},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.1377795934677124}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3605731.3608959","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3605731.3608959","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 52nd International Conference on Parallel Processing Workshops","raw_type":"proceedings-article"},{"id":"pmh:oai:oaktrust.library.tamu.edu:1969.1/200269","is_oa":true,"landing_page_url":"https://hdl.handle.net/1969.1/200269","pdf_url":"https://oaktrust.library.tamu.edu/bitstreams/d0ea9708-d63b-43e4-9bd4-39b20ede10fb/download","source":{"id":"https://openalex.org/S4306400291","display_name":"OakTrust (Texas A&M University Libraries)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I91045830","host_organization_name":"Texas A&M University","host_organization_lineage":["https://openalex.org/I91045830"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"}],"best_oa_location":{"id":"doi:10.1145/3605731.3608959","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3605731.3608959","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 52nd International Conference on Parallel Processing Workshops","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1968217253","https://openalex.org/W2328607701","https://openalex.org/W3038754989","https://openalex.org/W3205678808","https://openalex.org/W4206159778","https://openalex.org/W7139033639"],"related_works":["https://openalex.org/W2294483539","https://openalex.org/W3159690896","https://openalex.org/W4230824443","https://openalex.org/W2945572725","https://openalex.org/W1989286518","https://openalex.org/W2921012173","https://openalex.org/W2758517546","https://openalex.org/W3134680667","https://openalex.org/W2804396347","https://openalex.org/W2185943007"],"abstract_inverted_index":{"Graphs":[0],"are":[1,41],"a":[2,12,35,67,130,138,232],"widely":[3],"used":[4],"tool":[5],"in":[6,44,77,108,160,174,248],"modeling":[7,45],"social":[8,54],"interaction":[9],"networks.":[10],"In":[11,191],"network":[13,33],"that":[14,161,210],"consists":[15],"of":[16,73,94,97,102,134,163,167,181,208,226],"authors":[17,107,124,135,173,209,247],"and":[18,26,51,81,125,140,145],"pages":[19,52,126,216],"with":[20,213],"time-stamped":[21],"interactions":[22,104,144],"between":[23,49,123,143,170],"one":[24,27],"page":[25,156],"author,":[28],"we":[29,195,237],"can":[30],"model":[31],"the":[32,46,71,90,95,109,119,154,168,175,179,192,197,214,218,223,240,249],"as":[34,58,157],"bipartite":[36,110,120,250],"temporal":[37,47,121],"graph.":[38,251],"These":[39],"graphs":[40],"particularly":[42],"useful":[43],"relationships":[48],"users":[50],"on":[53,153],"media":[55],"networks":[56,80],"such":[57],"Reddit,":[59],"Twitter,":[60],"or":[61],"Facebook.":[62],"This":[63,205],"project":[64],"lays":[65],"out":[66],"three-step":[68],"approach":[69],"for":[70,105,200],"identification":[72],"highly":[74],"coordinated":[75],"behavior":[76],"these":[78,171,182,246],"massive":[79],"applies":[82],"it":[83],"at":[84,217],"scale":[85,96],"to":[86,231,239],"real-world":[87],"data":[88],"from":[89],"Reddit":[91],"platform.":[92],"Because":[93],"this":[98,117],"data,":[99],"direct":[100],"computation":[101],"group":[103],"all":[106],"graph":[111,122,133,177,199],"is":[112,127,178],"too":[113],"expensive.":[114],"To":[115],"address":[116],"problem,":[118],"projected":[128,176,198],"into":[129],"one-mode":[131],"weighted":[132],"by":[136],"specifying":[137],"maximum":[139],"minimum":[141],"time":[142],"recording":[146],"how":[147],"many":[148],"times":[149],"each":[150],"author":[151,159,224],"interacted":[152],"same":[155,215,219],"another":[158],"window":[162],"time.":[164,220],"The":[165],"weight":[166,203],"edge":[169,185,202],"two":[172],"count":[180],"interactions;":[183],"higher":[184],"weights":[186],"indicate":[187],"greater":[188],"potential":[189],"coordination.":[190],"second":[193],"step,":[194],"query":[196],"high":[201],"triangles.":[204],"highlights":[206],"triplets":[207],"repeatedly":[211],"interact":[212],"Finally,":[221],"after":[222],"groups":[225],"interest":[227],"have":[228],"been":[229],"pruned":[230],"much":[233],"smaller":[234],"search":[235],"space,":[236],"return":[238],"more":[241],"informative":[242],"metrics":[243],"considering":[244],"just":[245]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}