{"id":"https://openalex.org/W2019607434","doi":"https://doi.org/10.1145/2513166.2513176","title":"Detecting collusive spammers in online review communities","display_name":"Detecting collusive spammers in online review communities","publication_year":2013,"publication_date":"2013-10-29","ids":{"openalex":"https://openalex.org/W2019607434","doi":"https://doi.org/10.1145/2513166.2513176","mag":"2019607434"},"language":"en","primary_location":{"id":"doi:10.1145/2513166.2513176","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2513166.2513176","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the sixth workshop on Ph.D. students in information and knowledge management","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/A5001529504","display_name":"Chang Xu","orcid":"https://orcid.org/0000-0002-4756-0609"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Chang Xu","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore","Nanyang Technological University, Singapore, SINGAPORE#TAB#"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University, Singapore, SINGAPORE#TAB#","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5001529504"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":4.0447,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.93984529,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"33","last_page":"40"},"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":0.9984999895095825,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9972000122070312,"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":0.7609654664993286},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7562109231948853},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5653153657913208},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4778454005718231},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47588884830474854},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46200084686279297},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.45989352464675903},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.056694984436035156}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7609654664993286},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7562109231948853},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5653153657913208},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4778454005718231},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47588884830474854},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46200084686279297},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.45989352464675903},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.056694984436035156},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2513166.2513176","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2513166.2513176","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the sixth workshop on Ph.D. students in information and knowledge management","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":11,"referenced_works":["https://openalex.org/W1673310716","https://openalex.org/W1775665607","https://openalex.org/W2047756776","https://openalex.org/W2068138600","https://openalex.org/W2103063352","https://openalex.org/W2112213600","https://openalex.org/W2138615112","https://openalex.org/W2159359879","https://openalex.org/W2161283199","https://openalex.org/W2618735189","https://openalex.org/W2949453732"],"related_works":["https://openalex.org/W2383807498","https://openalex.org/W1978572805","https://openalex.org/W1997992934","https://openalex.org/W1987225439","https://openalex.org/W4238188170","https://openalex.org/W2125114371","https://openalex.org/W2149980199","https://openalex.org/W2019977573","https://openalex.org/W3125766170","https://openalex.org/W2391139946"],"abstract_inverted_index":{"In":[0],"this":[1,25],"paper,":[2],"we":[3,19,29,44],"first":[4],"define":[5],"our":[6,21,55,66,85,96],"research":[7],"problem":[8],"as":[9,95],"to":[10,51],"detect":[11,52],"collusive":[12],"spammers":[13],"in":[14,27,39,54,90],"online":[15],"review":[16],"communities.":[17],"Next":[18],"present":[20],"current":[22,86],"progress":[23],"on":[24,58],"topic,":[26],"which":[28],"have":[30],"spotted":[31],"anomalies":[32],"by":[33,75],"evaluating":[34],"15":[35],"behavioral":[36],"features":[37],"proposed":[38],"the":[40,70,79],"state-of-the-art":[41],"approaches.":[42],"Then":[43],"propose":[45],"a":[46],"novel":[47],"hybrid":[48],"classification/clustering":[49],"method":[50,67],"colluders":[53],"dataset":[56],"based":[57],"selected":[59],"informative":[60],"features.":[61],"Experimental":[62],"results":[63],"show":[64],"that":[65],"promisingly":[68],"improve":[69],"performance":[71],"of":[72,84],"traditional":[73],"classifiers":[74],"incorporating":[76],"clustering":[77],"for":[78],"smoothing.":[80],"Finally,":[81],"possible":[82],"extensions":[83],"work":[87],"and":[88],"challenges":[89],"achieving":[91],"them":[92],"are":[93],"discussed":[94],"future":[97],"directions.":[98]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}