{"id":"https://openalex.org/W2154961245","doi":"https://doi.org/10.1109/icc.2015.7248477","title":"Snooping Wikipedia vandals with MapReduce","display_name":"Snooping Wikipedia vandals with MapReduce","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W2154961245","doi":"https://doi.org/10.1109/icc.2015.7248477","mag":"2154961245"},"language":"en","primary_location":{"id":"doi:10.1109/icc.2015.7248477","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2015.7248477","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"},"type":"preprint","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/A5081879832","display_name":"Michele Spina","orcid":"https://orcid.org/0000-0001-6576-8182"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Michele Spina","raw_affiliation_strings":["LINCS, Paris, France"],"affiliations":[{"raw_affiliation_string":"LINCS, Paris, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052449763","display_name":"Dario Rossi","orcid":"https://orcid.org/0000-0003-3936-8876"},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Dario Rossi","raw_affiliation_strings":["Telecom ParisTech, Paris, France","lLINCS, Paris, France"],"affiliations":[{"raw_affiliation_string":"Telecom ParisTech, Paris, France","institution_ids":["https://openalex.org/I12356871"]},{"raw_affiliation_string":"lLINCS, Paris, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057257639","display_name":"Mauro Sozio","orcid":"https://orcid.org/0000-0002-2031-3974"},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mauro Sozio","raw_affiliation_strings":["Telecom ParisTech, Paris, France"],"affiliations":[{"raw_affiliation_string":"Telecom ParisTech, Paris, France","institution_ids":["https://openalex.org/I12356871"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035115589","display_name":"Silviu Maniu","orcid":"https://orcid.org/0000-0002-8623-1533"},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Silviu Maniu","raw_affiliation_strings":["Telecom ParisTech, Paris, France"],"affiliations":[{"raw_affiliation_string":"Telecom ParisTech, Paris, France","institution_ids":["https://openalex.org/I12356871"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070592874","display_name":"Bogdan Cautis","orcid":"https://orcid.org/0000-0003-3497-042X"},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Bogdan Cautis","raw_affiliation_strings":["Telecom ParisTech, Paris, France"],"affiliations":[{"raw_affiliation_string":"Telecom ParisTech, Paris, France","institution_ids":["https://openalex.org/I12356871"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5081879832"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.12034095,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"1146","last_page":"1151"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12478","display_name":"Wikis in Education and Collaboration","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12478","display_name":"Wikis in Education and Collaboration","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.975600004196167,"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":0.9642000198364258,"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":0.8503069877624512},{"id":"https://openalex.org/keywords/reputation","display_name":"Reputation","score":0.6566163301467896},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5938791036605835},{"id":"https://openalex.org/keywords/web-crawler","display_name":"Web crawler","score":0.5486652255058289},{"id":"https://openalex.org/keywords/constructive","display_name":"Constructive","score":0.5461158156394958},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.496493399143219},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4410395622253418},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.44055622816085815},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4332212209701538},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3455899953842163},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.336925208568573},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33157339692115784},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3305811285972595}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8503069877624512},{"id":"https://openalex.org/C48798503","wikidata":"https://www.wikidata.org/wiki/Q877546","display_name":"Reputation","level":2,"score":0.6566163301467896},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5938791036605835},{"id":"https://openalex.org/C13743948","wikidata":"https://www.wikidata.org/wiki/Q45842","display_name":"Web crawler","level":2,"score":0.5486652255058289},{"id":"https://openalex.org/C2778701210","wikidata":"https://www.wikidata.org/wiki/Q28130034","display_name":"Constructive","level":3,"score":0.5461158156394958},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.496493399143219},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4410395622253418},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.44055622816085815},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4332212209701538},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3455899953842163},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.336925208568573},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33157339692115784},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3305811285972595},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc.2015.7248477","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2015.7248477","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4399999976158142,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W207487034","https://openalex.org/W1602942503","https://openalex.org/W1845137714","https://openalex.org/W1980170090","https://openalex.org/W2024962845","https://openalex.org/W2026016807","https://openalex.org/W2051109346","https://openalex.org/W2055430614","https://openalex.org/W2069363463","https://openalex.org/W2073415627","https://openalex.org/W2078054796","https://openalex.org/W2098395374","https://openalex.org/W2110903679","https://openalex.org/W2115022330","https://openalex.org/W2120476697","https://openalex.org/W2120845601","https://openalex.org/W2122669917","https://openalex.org/W2128269848","https://openalex.org/W2129553551","https://openalex.org/W2131889098","https://openalex.org/W2137818934","https://openalex.org/W2139144138","https://openalex.org/W2148517649","https://openalex.org/W2151764066","https://openalex.org/W2153204928","https://openalex.org/W3083523828","https://openalex.org/W4231955481","https://openalex.org/W4298299405","https://openalex.org/W6678591457"],"related_works":["https://openalex.org/W3005260231","https://openalex.org/W2904469652","https://openalex.org/W4362647146","https://openalex.org/W2383572231","https://openalex.org/W2042034567","https://openalex.org/W3179424333","https://openalex.org/W2782340266","https://openalex.org/W4230722125","https://openalex.org/W2149158941","https://openalex.org/W1566984846"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,67,176,193],"present":[4],"and":[5,17,58,126,165],"validate":[6],"an":[7],"algorithm":[8],"able":[9,69,178],"to":[10,70,145,150,179],"accurately":[11],"identify":[12],"anomalous":[13],"behaviors":[14],"on":[15,22,30,132],"online":[16],"collaborative":[18],"social":[19],"networks,":[20],"based":[21,131],"their":[23,133],"interaction":[24,107],"with":[25,65,135],"other":[26],"fellows.":[27],"We":[28,53,95,110,139],"focus":[29],"Wikipedia,":[31],"where":[32,102],"accurate":[33,166],"ground":[34],"truth":[35],"for":[36,191],"the":[37,49,128,151,173,185],"classification":[38],"of":[39,48,77,115,153,184,189],"vandals":[40],"can":[41],"be":[42,146],"reliably":[43],"gathered":[44],"by":[45,84],"manual":[46],"inspection":[47],"page":[50],"edit":[51],"history.":[52],"develop":[54],"a":[55,72,99,113],"distributed":[56],"crawler":[57],"classifier":[59],"tasks,":[60],"both":[61],"implemented":[62],"in":[63,89],"MapReduce,":[64],"whom":[66],"are":[68,177],"explore":[71],"very":[73],"large":[74],"dataset,":[75],"consisting":[76],"over":[78,90],"5":[79],"millions":[80,86],"articles":[81],"collaboratively":[82],"edited":[83],"14":[85],"authors,":[87],"resulting":[88],"8":[91],"billion":[92],"pairwise":[93],"interactions.":[94],"represent":[96],"Wikipedia":[97],"as":[98],"signed":[100],"network,":[101],"positive":[103,123,170],"arcs":[104],"imply":[105],"constructive":[106],"between":[108],"editors.":[109,138],"then":[111],"isolate":[112],"set":[114],"high":[116,136],"reputation":[117,137],"editors":[118,187],"(i.e.,":[119],"nodes":[120],"having":[121],"many":[122],"incoming":[124],"links)":[125],"classify":[127,180],"remaining":[129],"ones":[130],"interactions":[134],"demonstrate":[140],"our":[141,154],"approach":[142],"not":[143],"only":[144,181],"practically":[147],"relevant":[148],"(due":[149],"size":[152],"dataset),":[155],"but":[156],"also":[157],"feasible":[158],"(as":[159],"it":[160],"requires":[161],"few":[162],"MapReduce":[163],"iteration)":[164],"(over":[167],"95%":[168],"true":[169],"rate).":[171],"At":[172],"same":[174],"time,":[175],"about":[182],"half":[183],"dataset":[186],"(recall":[188],"50%)":[190],"which":[192],"outline":[194],"some":[195],"solution":[196],"under":[197],"study.":[198]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}