{"id":"https://openalex.org/W4385568429","doi":"https://doi.org/10.1145/3580305.3599471","title":"Preemptive Detection of Fake Accounts on Social Networks via Multi-Class Preferential Attachment Classifiers","display_name":"Preemptive Detection of Fake Accounts on Social Networks via Multi-Class Preferential Attachment Classifiers","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385568429","doi":"https://doi.org/10.1145/3580305.3599471"},"language":"en","primary_location":{"id":"doi:10.1145/3580305.3599471","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3580305.3599471","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3580305.3599471","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 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3580305.3599471","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007064090","display_name":"Adam Breuer","orcid":"https://orcid.org/0000-0002-5978-1070"},"institutions":[{"id":"https://openalex.org/I107672454","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22","country_code":"US","type":"education","lineage":["https://openalex.org/I107672454"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Adam Breuer","raw_affiliation_strings":["Dartmouth, Hanover, NH, USA"],"affiliations":[{"raw_affiliation_string":"Dartmouth, Hanover, NH, USA","institution_ids":["https://openalex.org/I107672454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092595937","display_name":"Nazanin Khosravani","orcid":"https://orcid.org/0009-0002-3971-6551"},"institutions":[{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nazanin Khosravani","raw_affiliation_strings":["Meta, Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Meta, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210099336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072100380","display_name":"Michael Tingley","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Tingley","raw_affiliation_strings":["Meta, Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Meta, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210099336"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077320779","display_name":"Bradford Cottel","orcid":"https://orcid.org/0009-0005-8428-8404"},"institutions":[{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bradford Cottel","raw_affiliation_strings":["Meta, Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Meta, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210099336"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5007064090"],"corresponding_institution_ids":["https://openalex.org/I107672454"],"apc_list":null,"apc_paid":null,"fwci":3.2122,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.92966928,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"105","last_page":"116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":1.0,"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":1.0,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9991000294685364,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9983000159263611,"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":0.7486571073532104},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.594369649887085},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5507118701934814},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5503756403923035},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46400371193885803},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37292909622192383},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3468918800354004}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7486571073532104},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.594369649887085},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5507118701934814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5503756403923035},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46400371193885803},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37292909622192383},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3468918800354004}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3580305.3599471","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3580305.3599471","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3580305.3599471","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 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3580305.3599471","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3580305.3599471","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3580305.3599471","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 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385568429.pdf","grobid_xml":"https://content.openalex.org/works/W4385568429.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1837843568","https://openalex.org/W1969568357","https://openalex.org/W1980347317","https://openalex.org/W2016707451","https://openalex.org/W2016743875","https://openalex.org/W2029749307","https://openalex.org/W2045775870","https://openalex.org/W2080450835","https://openalex.org/W2090212887","https://openalex.org/W2098395374","https://openalex.org/W2098678088","https://openalex.org/W2111023939","https://openalex.org/W2115022330","https://openalex.org/W2150941206","https://openalex.org/W2156836300","https://openalex.org/W2164925197","https://openalex.org/W2550819555","https://openalex.org/W2574953090","https://openalex.org/W2595521492","https://openalex.org/W2617495708","https://openalex.org/W2621008736","https://openalex.org/W2751074899","https://openalex.org/W2754287308","https://openalex.org/W2764040154","https://openalex.org/W2771677725","https://openalex.org/W2787296320","https://openalex.org/W2914186518","https://openalex.org/W2962960408","https://openalex.org/W2963021929","https://openalex.org/W2965683718","https://openalex.org/W3012631161","https://openalex.org/W3081199443","https://openalex.org/W3125182500","https://openalex.org/W3171044370","https://openalex.org/W4240443285","https://openalex.org/W4301232013","https://openalex.org/W4313068093"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W2563096758","https://openalex.org/W4386053843","https://openalex.org/W3158004940","https://openalex.org/W2972035100","https://openalex.org/W2167582322","https://openalex.org/W2742991909","https://openalex.org/W2556319748"],"abstract_inverted_index":{"In":[0],"this":[1,31],"paper,":[2],"we":[3,55],"describe":[4],"a":[5,20],"new":[6],"algorithm":[7],"called":[8],"Preferential":[9],"Attac":[10],"hment":[11],"k-class":[12],"Classifier":[13],"(PreAttacK)":[14],"for":[15],"detecting":[16],"fake":[17,43],"accounts":[18],"in":[19],"social":[21],"network.":[22],"Recently,":[23],"several":[24],"algorithms":[25],"have":[26,35],"obtained":[27],"high":[28],"accuracy":[29],"on":[30,40],"problem.":[32],"However,":[33],"they":[34,49],"done":[36],"so":[37],"by":[38],"relying":[39],"information":[41],"about":[42],"accounts'":[44],"friendships":[45],"or":[46],"the":[47],"content":[48],"share":[50],"with":[51],"others-the":[52],"very":[53],"things":[54],"seek":[56],"to":[57],"prevent.":[58]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
