{"id":"https://openalex.org/W3000377770","doi":"https://doi.org/10.1145/3341161.3343532","title":"Evaluation of extremist cohesion in a darknet forum using ERGM and LDA","display_name":"Evaluation of extremist cohesion in a darknet forum using ERGM and LDA","publication_year":2019,"publication_date":"2019-08-27","ids":{"openalex":"https://openalex.org/W3000377770","doi":"https://doi.org/10.1145/3341161.3343532","mag":"3000377770"},"language":"en","primary_location":{"id":"doi:10.1145/3341161.3343532","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341161.3343532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining","raw_type":"proceedings-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/A5064330175","display_name":"Mohammed Rafiuddin Rashed","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammed Rashed","raw_affiliation_strings":["Johns Hopkins University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039360079","display_name":"John Piorkowski","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Piorkowski","raw_affiliation_strings":["Johns Hopkins University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079997412","display_name":"Ian McCulloh","orcid":"https://orcid.org/0000-0003-2916-3914"},"institutions":[{"id":"https://openalex.org/I1310439424","display_name":"Accenture (Switzerland)","ror":"https://ror.org/041r3e346","country_code":"CH","type":"company","lineage":["https://openalex.org/I1310439424","https://openalex.org/I4210093804"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Ian McCulloh","raw_affiliation_strings":["Accenture"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Accenture","institution_ids":["https://openalex.org/I1310439424"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3444,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72179682,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"899","last_page":"902"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12519","display_name":"Cybercrime and Law Enforcement Studies","score":0.9799000024795532,"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/T12519","display_name":"Cybercrime and Law Enforcement Studies","score":0.9799000024795532,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9648000001907349,"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"}},{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.954200029373169,"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/cohesion","display_name":"Cohesion (chemistry)","score":0.7750231623649597},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4751298725605011},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.14546826481819153}],"concepts":[{"id":"https://openalex.org/C104054115","wikidata":"https://www.wikidata.org/wiki/Q216828","display_name":"Cohesion (chemistry)","level":2,"score":0.7750231623649597},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4751298725605011},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.14546826481819153},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3341161.3343532","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341161.3343532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining","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":12,"referenced_works":["https://openalex.org/W1486765142","https://openalex.org/W2079591709","https://openalex.org/W2098204287","https://openalex.org/W2100212893","https://openalex.org/W2159452819","https://openalex.org/W2266270448","https://openalex.org/W2562324365","https://openalex.org/W2729811700","https://openalex.org/W2898324970","https://openalex.org/W2964214714","https://openalex.org/W6683648912","https://openalex.org/W7028430298"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2217121926","https://openalex.org/W2356003553","https://openalex.org/W1534130421","https://openalex.org/W2346502948","https://openalex.org/W2375916395","https://openalex.org/W2367499504","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W3039123250"],"abstract_inverted_index":{"ISIS":[0],"and":[1,17,20,45,58,62,80],"similar":[2],"extremist":[3],"communities":[4],"are":[5],"increasingly":[6],"using":[7,36],"forums":[8],"in":[9,31],"the":[10,52,70,74],"darknet":[11],"to":[12,27],"connect":[13],"with":[14],"each":[15],"other":[16,81],"spread":[18],"news":[19],"propaganda.":[21],"In":[22],"this":[23],"paper,":[24],"we":[25],"attempt":[26],"understand":[28],"their":[29],"network":[30],"an":[32,39],"online":[33],"forum":[34,75],"by":[35],"descriptive":[37],"statistics,":[38],"exponential":[40],"random":[41],"graph":[42],"model":[43],"(ERGM)":[44],"Topic":[46],"Modeling.":[47],"Our":[48],"analysis":[49],"shows":[50],"how":[51],"cohesion":[53],"between":[54],"active":[55],"members":[56],"forms":[57],"grows":[59],"over":[60],"time":[61],"under":[63],"certain":[64],"thread":[65],"topics.":[66],"We":[67],"find":[68],"that":[69],"top":[71],"attendants":[72],"of":[73,83],"have":[76],"high":[77],"centrality":[78],"measures":[79],"attributes":[82],"influencers.":[84]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
