{"id":"https://openalex.org/W2591749048","doi":"https://doi.org/10.1109/tifs.2017.2675361","title":"NetSpam: A Network-Based Spam Detection Framework for Reviews in Online Social Media","display_name":"NetSpam: A Network-Based Spam Detection Framework for Reviews in Online Social Media","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2591749048","doi":"https://doi.org/10.1109/tifs.2017.2675361","mag":"2591749048"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2017.2675361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2017.2675361","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1703.03609","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Saeedreza Shehnepoor","orcid":null},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Saeedreza Shehnepoor","raw_affiliation_strings":["University of Tehran, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mostafa Salehi","orcid":"https://orcid.org/0000-0002-2577-5828"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mostafa Salehi","raw_affiliation_strings":["University of Tehran, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Reza Farahbakhsh","orcid":null},"institutions":[{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Reza Farahbakhsh","raw_affiliation_strings":["Institut Mines-Telecom, Telecom Sud-Paris, Paris, France"],"affiliations":[{"raw_affiliation_string":"Institut Mines-Telecom, Telecom Sud-Paris, Paris, France","institution_ids":["https://openalex.org/I205703379"]}]},{"author_position":"last","author":{"id":null,"display_name":"Noel Crespi","orcid":null},"institutions":[{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Noel Crespi","raw_affiliation_strings":["Institut Mines-Telecom, Telecom Sud-Paris, Paris, France"],"affiliations":[{"raw_affiliation_string":"Institut Mines-Telecom, Telecom Sud-Paris, Paris, France","institution_ids":["https://openalex.org/I205703379"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I23946033"],"apc_list":null,"apc_paid":null,"fwci":28.327,"has_fulltext":false,"cited_by_count":139,"citation_normalized_percentile":{"value":0.99585152,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"12","issue":"7","first_page":"1585","last_page":"1595"},"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9961000084877014,"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"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9957000017166138,"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/spambot","display_name":"Spambot","score":0.840399980545044},{"id":"https://openalex.org/keywords/forum-spam","display_name":"Forum spam","score":0.7085000276565552},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6089000105857849},{"id":"https://openalex.org/keywords/spamming","display_name":"Spamming","score":0.5965999960899353},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4253000020980835},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4165000021457672},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4138999879360199},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.37770000100135803}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8478000164031982},{"id":"https://openalex.org/C127735637","wikidata":"https://www.wikidata.org/wiki/Q2306702","display_name":"Spambot","level":4,"score":0.840399980545044},{"id":"https://openalex.org/C157310412","wikidata":"https://www.wikidata.org/wiki/Q3140915","display_name":"Forum spam","level":5,"score":0.7085000276565552},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6089000105857849},{"id":"https://openalex.org/C158955206","wikidata":"https://www.wikidata.org/wiki/Q83058","display_name":"Spamming","level":3,"score":0.5965999960899353},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4422999918460846},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4253000020980835},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4165000021457672},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4138999879360199},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.37770000100135803},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3628000020980835},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.35249999165534973},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.3515999913215637},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3269999921321869},{"id":"https://openalex.org/C3020028006","wikidata":"https://www.wikidata.org/wiki/Q9158","display_name":"Electronic mail","level":2,"score":0.3125999867916107},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.304500013589859},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2937000095844269},{"id":"https://openalex.org/C13565553","wikidata":"https://www.wikidata.org/wiki/Q804206","display_name":"Spamdexing","level":5,"score":0.2833000123500824},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.2671000063419342},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.2549000084400177},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.2533999979496002}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tifs.2017.2675361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2017.2675361","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1703.03609","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1703.03609","pdf_url":"https://arxiv.org/pdf/1703.03609","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:HAL:hal-01660695v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01660695","pdf_url":null,"source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Information Forensics and Security, 2017, 12 (7), pp.1585 - 1595. &#x27E8;10.1109/TIFS.2017.2675361&#x27E9;","raw_type":"Journal articles"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1703.03609","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1703.03609","pdf_url":"https://arxiv.org/pdf/1703.03609","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4208143864","display_name":null,"funder_award_id":"94017889","funder_id":"https://openalex.org/F4320322243","funder_display_name":"Iran National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320322243","display_name":"Iran National Science Foundation","ror":"https://ror.org/03sr1ma14"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W121745055","https://openalex.org/W1851422430","https://openalex.org/W1967495422","https://openalex.org/W1975563293","https://openalex.org/W1977764012","https://openalex.org/W2016266039","https://openalex.org/W2047756776","https://openalex.org/W2059733647","https://openalex.org/W2064058256","https://openalex.org/W2103063352","https://openalex.org/W2112213600","https://openalex.org/W2136710010","https://openalex.org/W2143389120","https://openalex.org/W2145485370","https://openalex.org/W2159359879","https://openalex.org/W2168175183","https://openalex.org/W2212259974","https://openalex.org/W2400968813","https://openalex.org/W3124804010","https://openalex.org/W4247954696","https://openalex.org/W6624343464","https://openalex.org/W6637998964","https://openalex.org/W6672728285","https://openalex.org/W6678444979","https://openalex.org/W6684043126","https://openalex.org/W6687142891","https://openalex.org/W6688006672","https://openalex.org/W6688513127","https://openalex.org/W6695774259","https://openalex.org/W6713132350","https://openalex.org/W6719165137"],"related_works":[],"abstract_inverted_index":{"Nowadays,":[0],"a":[1,21,31,34,58,65,106,133],"big":[2],"part":[3],"of":[4,61,68,91,96,142,153,183,194],"people":[5],"rely":[6],"on":[7,20,157],"available":[8],"content":[9,56],"in":[10,13,136,151],"social":[11],"media":[12],"their":[14],"decisions":[15],"(e.g.,":[16],"reviews":[17,42],"and":[18,45,53,63,89,164,179,189],"feedback":[19],"topic":[22,60],"or":[23],"product).":[24],"The":[25,168],"possibility":[26],"that":[27,171],"anybody":[28],"can":[29],"leave":[30],"review":[32,120,159],"provides":[33],"golden":[35],"opportunity":[36],"for":[37,47,118],"spammers":[38,52],"to":[39,127,147],"write":[40],"spam":[41,55,87,116,129,143],"about":[43],"products":[44],"services":[46],"different":[48,154],"interests.":[49],"Identifying":[50],"these":[51],"the":[54,80,94,140,176,191,199],"is":[57],"hot":[59],"research,":[62],"although":[64],"considerable":[66],"number":[67],"studies":[69],"have":[70],"been":[71],"done":[72],"recently":[73],"toward":[74],"this":[75,102],"end,":[76],"but":[77],"so":[78],"far":[79],"methodologies":[81],"put":[82],"forth":[83],"still":[84],"barely":[85],"detect":[86],"reviews,":[88],"none":[90],"them":[92],"show":[93,170],"importance":[95,141],"each":[97],"extracted":[98],"feature":[99],"type.":[100],"In":[101],"paper,":[103],"we":[104],"propose":[105],"novel":[107],"framework,":[108],"named":[109],"<italic":[110,172],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[111,173],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">NetSpam</i>":[112,174],",":[113],"which":[114],"utilizes":[115],"features":[117,144,195],"modeling":[119],"data":[121,160],"sets":[122,161],"as":[123],"heterogeneous":[124],"information":[125],"networks":[126],"map":[128],"detection":[130],"procedure":[131],"into":[132],"classification":[134],"problem":[135],"such":[137],"networks.":[138],"Using":[139],"helps":[145],"us":[146],"obtain":[148],"better":[149,197],"results":[150,169],"terms":[152],"metrics":[155],"experimented":[156],"real-world":[158],"from":[162],"Yelp":[163],"Amazon":[165],"Web":[166],"sites.":[167],"outperforms":[175],"existing":[177],"methods":[178],"among":[180],"four":[181],"categories":[182],"features,":[184],"including":[185],"review-behavioral,":[186],"user-behavioral,":[187],"review-linguistic,":[188],"user-linguistic,":[190],"first":[192],"type":[193],"performs":[196],"than":[198],"other":[200],"categories.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":24},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":22},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2017-03-16T00:00:00"}
