{"id":"https://openalex.org/W2914186518","doi":"https://doi.org/10.1109/bigdata.2018.8621913","title":"Detecting Fake Accounts on Social Media","display_name":"Detecting Fake Accounts on Social Media","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2914186518","doi":"https://doi.org/10.1109/bigdata.2018.8621913","mag":"2914186518"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2018.8621913","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8621913","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","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/A5025282070","display_name":"Sarah Khaled","orcid":null},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Sarah Khaled","raw_affiliation_strings":["Faculty of Computers and Information, Cairo University, Cairo, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computers and Information, Cairo University, Cairo, Egypt","institution_ids":["https://openalex.org/I145487455"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Neamat El-Tazi","orcid":null},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Neamat El-Tazi","raw_affiliation_strings":["Faculty of Computers and Information, Cairo University, Cairo, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computers and Information, Cairo University, Cairo, Egypt","institution_ids":["https://openalex.org/I145487455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048405773","display_name":"Hoda M. O. Mokhtar","orcid":"https://orcid.org/0000-0002-7877-4108"},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Hoda M. O. Mokhtar","raw_affiliation_strings":["Faculty of Computers and Information, Cairo University, Cairo, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computers and Information, Cairo University, Cairo, Egypt","institution_ids":["https://openalex.org/I145487455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.6941,"has_fulltext":false,"cited_by_count":125,"citation_normalized_percentile":{"value":0.98338797,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3672","last_page":"3681"},"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":0.9994000196456909,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9991000294685364,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8263617753982544},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.774166464805603},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5863017439842224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5784221291542053},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5515687465667725},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5302367210388184},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5200633406639099},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43079641461372375},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.4145967662334442},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.4144713282585144},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4112452566623688},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3522818684577942},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.15381211042404175}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8263617753982544},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.774166464805603},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5863017439842224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5784221291542053},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5515687465667725},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5302367210388184},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5200633406639099},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43079641461372375},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.4145967662334442},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.4144713282585144},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4112452566623688},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3522818684577942},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.15381211042404175},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2018.8621913","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8621913","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","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":39,"referenced_works":["https://openalex.org/W91932901","https://openalex.org/W623884571","https://openalex.org/W1520914943","https://openalex.org/W1592785605","https://openalex.org/W1781642226","https://openalex.org/W1849719402","https://openalex.org/W1849729440","https://openalex.org/W1989643196","https://openalex.org/W1992685726","https://openalex.org/W1998871422","https://openalex.org/W2027461913","https://openalex.org/W2029749307","https://openalex.org/W2033636833","https://openalex.org/W2053494745","https://openalex.org/W2057228200","https://openalex.org/W2096053111","https://openalex.org/W2098395374","https://openalex.org/W2100974526","https://openalex.org/W2153635508","https://openalex.org/W2156571267","https://openalex.org/W2157578436","https://openalex.org/W2161642932","https://openalex.org/W2168508162","https://openalex.org/W2212381007","https://openalex.org/W2218242280","https://openalex.org/W2405527140","https://openalex.org/W2416333174","https://openalex.org/W2590071160","https://openalex.org/W2768496498","https://openalex.org/W3140672266","https://openalex.org/W4232308119","https://openalex.org/W6603746958","https://openalex.org/W6619627571","https://openalex.org/W6635383313","https://openalex.org/W6638049533","https://openalex.org/W6682904970","https://openalex.org/W6684109316","https://openalex.org/W6684716366","https://openalex.org/W6688513127"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W1980100242","https://openalex.org/W2530420969","https://openalex.org/W2051187167","https://openalex.org/W4315815996"],"abstract_inverted_index":{"In":[0,130],"the":[1,51,77,104,112,165,207],"present":[2],"generation,":[3],"on-Line":[4,24],"social":[5,13,25],"networks":[6,26],"(OSNs)":[7,27],"have":[8,15,60,81,108,116],"become":[9,16],"increasingly":[10],"popular,":[11],"people's":[12],"lives":[14],"more":[17],"associated":[18],"with":[19,32],"these":[20],"sites.":[21],"They":[22],"use":[23],"to":[28,65,83,87,139,163,201],"keep":[29],"in":[30,111],"touch":[31],"each":[33],"others,":[34],"share":[35,69],"news,":[36,71],"organize":[37],"events,":[38],"and":[39,50,63,72,91,98,147,151,182],"even":[40],"run":[41],"their":[42],"own":[43],"e-business.":[44],"The":[45,188],"rapid":[46],"growth":[47],"of":[48,54,57,103,195,206,209],"OSNs":[49],"massive":[52],"amount":[53],"personal":[55,67],"data":[56],"its":[58],"subscribers":[59],"attracted":[61],"attackers,":[62],"imposters":[64],"steal":[66],"data,":[68],"false":[70],"spread":[73],"malicious":[74],"activities.":[75],"On":[76],"other":[78],"hand,":[79],"researchers":[80],"started":[82],"investigate":[84],"efficient":[85,141],"techniques":[86,154],"detect":[88],"abnormal":[89],"activities":[90],"fake":[92,144],"accounts":[93,96,146,167,208],"relying":[94],"on":[95],"features,":[97,196],"classification":[99,122,159],"algorithms.":[100],"However,":[101],"some":[102],"account's":[105],"exploited":[106],"features":[107],"negative":[109],"contribution":[110],"final":[113],"results":[114],"or":[115,170],"no":[117],"impact,":[118],"also":[119],"using":[120],"standalone":[121],"algorithms":[123,160,173],"does":[124],"not":[125],"always":[126],"achieve":[127],"satisfactory":[128],"results.":[129],"this":[131],"paper,":[132],"a":[133],"new":[134],"algorithm,":[135,186],"SVM-NN,":[136],"is":[137],"proposed":[138,189],"provide":[140],"detection":[142],"for":[143],"Twitter":[145],"bots,":[148],"feature":[149],"selection":[150],"dimension":[152],"reduction":[153],"were":[155,161,174],"applied.":[156],"Machine":[157],"learning":[158],"used":[162],"decide":[164],"target":[166],"identity":[168],"real":[169],"fake,":[171],"those":[172],"support":[175],"vector":[176],"machine":[177],"(SVM),":[178],"neural":[179],"Network":[180],"(NN),":[181],"our":[183,210],"newly":[184],"developed":[185],"SVM-NN.":[187],"algorithm":[190],"(SVM-NN)":[191],"uses":[192],"less":[193],"number":[194],"while":[197],"still":[198],"being":[199],"able":[200],"correctly":[202],"classify":[203],"about":[204],"98%":[205],"training":[211],"dataset.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":35},{"year":2023,"cited_by_count":24},{"year":2022,"cited_by_count":21},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}