{"id":"https://openalex.org/W3149116869","doi":"https://doi.org/10.1109/asonam49781.2020.9381312","title":"RThread: A thread-centric analysis of security forums","display_name":"RThread: A thread-centric analysis of security forums","publication_year":2020,"publication_date":"2020-12-07","ids":{"openalex":"https://openalex.org/W3149116869","doi":"https://doi.org/10.1109/asonam49781.2020.9381312","mag":"3149116869"},"language":"en","primary_location":{"id":"doi:10.1109/asonam49781.2020.9381312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam49781.2020.9381312","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","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/A5058078981","display_name":"Jakapun Tachaiya","orcid":null},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jakapun Tachaiya","raw_affiliation_strings":["University of California, Riverside, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Riverside, CA","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074756910","display_name":"Joobin Gharibshah","orcid":null},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joobin Gharibshah","raw_affiliation_strings":["University of California, Riverside, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Riverside, CA","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054849323","display_name":"Evangelos E. Papalexakis","orcid":"https://orcid.org/0000-0002-3411-8483"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Evangelos E. Papalexakis","raw_affiliation_strings":["University of California, Riverside, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Riverside, CA","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018876909","display_name":"Michalis Faloutsos","orcid":"https://orcid.org/0000-0002-3882-9987"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michalis Faloutsos","raw_affiliation_strings":["University of California, Riverside, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Riverside, CA","institution_ids":["https://openalex.org/I103635307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I103635307"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9993000030517578,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9957000017166138,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/thread","display_name":"Thread (computing)","score":0.8530312776565552},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.775306224822998},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6670093536376953},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6502675414085388},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.5045160055160522},{"id":"https://openalex.org/keywords/information-visualization","display_name":"Information visualization","score":0.4675979018211365},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4451022148132324},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4159424304962158},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3986018896102905},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2878952920436859},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1686958372592926}],"concepts":[{"id":"https://openalex.org/C138101251","wikidata":"https://www.wikidata.org/wiki/Q213092","display_name":"Thread (computing)","level":2,"score":0.8530312776565552},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.775306224822998},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6670093536376953},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6502675414085388},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.5045160055160522},{"id":"https://openalex.org/C185578843","wikidata":"https://www.wikidata.org/wiki/Q10609775","display_name":"Information visualization","level":3,"score":0.4675979018211365},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4451022148132324},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4159424304962158},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3986018896102905},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2878952920436859},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1686958372592926},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asonam49781.2020.9381312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam49781.2020.9381312","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","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":17,"referenced_works":["https://openalex.org/W139285484","https://openalex.org/W1604976645","https://openalex.org/W1977556410","https://openalex.org/W1987971958","https://openalex.org/W1994104426","https://openalex.org/W2291301591","https://openalex.org/W2604955674","https://openalex.org/W2768290804","https://openalex.org/W2770320243","https://openalex.org/W2770572064","https://openalex.org/W2796638516","https://openalex.org/W2892297442","https://openalex.org/W2903241493","https://openalex.org/W2962892082","https://openalex.org/W2964074409","https://openalex.org/W3099392579","https://openalex.org/W6685380521"],"related_works":["https://openalex.org/W2105200106","https://openalex.org/W1574055964","https://openalex.org/W2104025928","https://openalex.org/W2295030662","https://openalex.org/W4225274103","https://openalex.org/W2923661510","https://openalex.org/W1938514595","https://openalex.org/W2147893003","https://openalex.org/W2579659702","https://openalex.org/W2035418841"],"abstract_inverted_index":{"Online":[0],"forums":[1,18,95,121],"have":[2,19],"been":[3],"shown":[4],"to":[5,37,147],"contain":[6],"a":[7,13,53,59,67,100,113,165,185],"wealth":[8],"of":[9,43,102,134],"useful":[10],"information.":[11],"With":[12],"few":[14],"notable":[15],"exceptions,":[16],"such":[17],"not":[20],"received":[21],"much":[22],"attention":[23],"from":[24,92],"the":[25,149],"research":[26],"community,":[27],"unlike":[28],"other":[29],"online":[30,44],"social":[31],"media.":[32],"Our":[33,71],"goal":[34],"here":[35],"is":[36,117],"conduct":[38],"an":[39,144,197],"in-depth":[40],"thread-centric":[41,110],"analysis":[42],"forums,":[45],"focusing":[46],"on":[47],"security":[48,94],"forums.":[49],"We":[50,89,175],"propose,":[51],"RThread,":[52],"comprehensive":[54],"unsupervised":[55,198],"clustering":[56],"approach":[57,72,130,159,178],"with":[58,96,136],"powerful":[60],"visualization":[61,141],"component,":[62],"which":[63,116],"we":[64,106,126,155],"provide":[65],"as":[66,184],"publicly-accessible":[68],"web-based":[69],"tool.":[70],"leverages":[73],"92":[74],"thread":[75],"features":[76],"that":[77,108],"span":[78,101],"three":[79],"groups:":[80],"(a)":[81],"temporal,":[82],"(b)":[83],"behavioral,":[84],"and":[85,122,179,192],"(c)":[86],"content":[87],"related.":[88],"analyze":[90],"data":[91],"8":[93,103],"400k":[97],"posts":[98],"over":[99,123],"years.":[104],"First,":[105],"find":[107],"many":[109],"properties":[111],"follow":[112],"log-normal":[114],"distribution,":[115],"persistent":[118],"across":[119],"several":[120],"time.":[124],"Second,":[125],"show":[127,156],"how":[128,157],"our":[129,140,158,177,180],"can":[131,160],"identify":[132],"clusters":[133],"threads":[135,168],"similar":[137],"behavior,":[138],"while":[139],"component":[142],"provides":[143],"easy":[145],"way":[146],"spot":[148,161],"differences":[150],"between":[151],"these":[152],"clusters.":[153],"Finally,":[154],"surprising":[162],"behaviors,":[163],"including":[164],"cluster,":[166],"whose":[167],"are":[169],"used":[170],"for":[171],"Search":[172],"Engine":[173],"Optimization.":[174],"see":[176],"publicly":[181],"available":[182],"platform":[183],"building":[186],"block":[187],"towards":[188],"understanding":[189],"forum":[190],"activity":[191],"extracting":[193],"interesting":[194],"information":[195],"in":[196],"way.":[199]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}