{"id":"https://openalex.org/W1524091188","doi":"https://doi.org/10.1145/2808797.2808861","title":"DIVa","display_name":"DIVa","publication_year":2015,"publication_date":"2015-08-25","ids":{"openalex":"https://openalex.org/W1524091188","doi":"https://doi.org/10.1145/2808797.2808861","mag":"1524091188"},"language":"en","primary_location":{"id":"doi:10.1145/2808797.2808861","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2808797.2808861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015","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/A5047210123","display_name":"Amira Soliman","orcid":null},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Amira Soliman","raw_affiliation_strings":["Electrical Engineering School, KTH - Royal Institute of Technology, Sweden"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering School, KTH - Royal Institute of Technology, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013731775","display_name":"Leila Bahri","orcid":"https://orcid.org/0000-0002-7520-9664"},"institutions":[{"id":"https://openalex.org/I115752224","display_name":"University of Insubria","ror":"https://ror.org/00s409261","country_code":"IT","type":"education","lineage":["https://openalex.org/I115752224"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Leila Bahri","raw_affiliation_strings":["STRICT SociaLab, Insubria University, Italy"],"affiliations":[{"raw_affiliation_string":"STRICT SociaLab, Insubria University, Italy","institution_ids":["https://openalex.org/I115752224"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057684417","display_name":"Barbara Carminati","orcid":"https://orcid.org/0000-0002-7502-4731"},"institutions":[{"id":"https://openalex.org/I115752224","display_name":"University of Insubria","ror":"https://ror.org/00s409261","country_code":"IT","type":"education","lineage":["https://openalex.org/I115752224"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Barbara Carminati","raw_affiliation_strings":["STRICT SociaLab, Insubria University, Italy"],"affiliations":[{"raw_affiliation_string":"STRICT SociaLab, Insubria University, Italy","institution_ids":["https://openalex.org/I115752224"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036362276","display_name":"Elena Ferrari","orcid":"https://orcid.org/0000-0002-7312-6769"},"institutions":[{"id":"https://openalex.org/I115752224","display_name":"University of Insubria","ror":"https://ror.org/00s409261","country_code":"IT","type":"education","lineage":["https://openalex.org/I115752224"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Elena Ferrari","raw_affiliation_strings":["STRICT SociaLab, Insubria University, Italy"],"affiliations":[{"raw_affiliation_string":"STRICT SociaLab, Insubria University, Italy","institution_ids":["https://openalex.org/I115752224"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041411651","display_name":"\u0160ar\u016bnas Girdzijauskas","orcid":"https://orcid.org/0000-0003-4516-7317"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Sarunas Girdzijauskas","raw_affiliation_strings":["Electrical Engineering School, KTH - Royal Institute of Technology, Sweden"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering School, KTH - Royal Institute of Technology, Sweden","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5047210123"],"corresponding_institution_ids":["https://openalex.org/I86987016"],"apc_list":null,"apc_paid":null,"fwci":4.7676,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.94718091,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"383","last_page":"391"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9998999834060669,"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":0.9998999834060669,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/diva","display_name":"Diva","score":0.8706709742546082},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8026801943778992},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7743719816207886},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5753929615020752},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5460673570632935},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5305051803588867},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4005776047706604},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.32258936762809753},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2992323637008667},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07828637957572937}],"concepts":[{"id":"https://openalex.org/C2781092335","wikidata":"https://www.wikidata.org/wiki/Q867132","display_name":"Diva","level":2,"score":0.8706709742546082},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8026801943778992},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7743719816207886},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5753929615020752},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5460673570632935},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5305051803588867},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4005776047706604},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.32258936762809753},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2992323637008667},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07828637957572937},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2808797.2808861","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2808797.2808861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015","raw_type":"proceedings-article"},{"id":"pmh:oai:irinsubria.uninsubria.it:11383/2024751","is_oa":false,"landing_page_url":"http://hdl.handle.net/11383/2024751","pdf_url":null,"source":{"id":"https://openalex.org/S4377196351","display_name":"IrInSubria (University of Insubria)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I115752224","host_organization_name":"University of Insubria","host_organization_lineage":["https://openalex.org/I115752224"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W100351541","https://openalex.org/W636957850","https://openalex.org/W1614675676","https://openalex.org/W1964514080","https://openalex.org/W1973556323","https://openalex.org/W1976080494","https://openalex.org/W1993315534","https://openalex.org/W1999521929","https://openalex.org/W2015249134","https://openalex.org/W2019144999","https://openalex.org/W2019463033","https://openalex.org/W2021152479","https://openalex.org/W2027079924","https://openalex.org/W2038920443","https://openalex.org/W2052378529","https://openalex.org/W2069714447","https://openalex.org/W2075361948","https://openalex.org/W2095343893","https://openalex.org/W2096544401","https://openalex.org/W2101890615","https://openalex.org/W2108099581","https://openalex.org/W2109726592","https://openalex.org/W2113839561","https://openalex.org/W2131681506","https://openalex.org/W2150941206","https://openalex.org/W2151936673","https://openalex.org/W2153062527","https://openalex.org/W2162294138","https://openalex.org/W2166559705","https://openalex.org/W2335888457","https://openalex.org/W2540342703","https://openalex.org/W2545624159","https://openalex.org/W2809882627","https://openalex.org/W2963577143","https://openalex.org/W6637407823"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2997512100","https://openalex.org/W2331043530","https://openalex.org/W2393933887","https://openalex.org/W2374725260","https://openalex.org/W1607315280","https://openalex.org/W4386140649","https://openalex.org/W2383403914","https://openalex.org/W1596397513","https://openalex.org/W2382838914"],"abstract_inverted_index":{"Online":[0],"Social":[1],"Networks":[2],"exploit":[3],"a":[4,40,52,71,96,110],"lightweight":[5],"process":[6],"to":[7,13,30,43,56,80,132,149,161],"identify":[8],"their":[9,15],"users":[10,28,45],"so":[11],"as":[12,95,118],"facilitate":[14],"fast":[16],"adoption.":[17],"However,":[18],"such":[19],"convenience":[20],"comes":[21],"at":[22],"the":[23,103,122,164],"price":[24],"of":[25,54],"making":[26],"legitimate":[27],"subject":[29],"different":[31],"threats":[32],"created":[33],"by":[34],"fake":[35],"accounts.":[36],"Therefore,":[37],"there":[38],"is":[39,130,147],"crucial":[41],"need":[42],"empower":[44],"with":[46,63,157],"tools":[47],"helping":[48],"them":[49],"in":[50,66,121],"assigning":[51],"level":[53],"trust":[55],"whomever":[57],"they":[58],"interact":[59],"with.":[60],"To":[61],"cope":[62],"this":[64,67],"issue,":[65],"paper":[68],"we":[69],"introduce":[70],"novel":[72],"model,":[73],"DIVa,":[74],"that":[75,145],"leverages":[76],"on":[77],"mining":[78],"techniques":[79],"find":[81],"correlations":[82,88,104,153],"among":[83,154],"user":[84,93],"profile":[85,155],"attributes.":[86],"These":[87],"are":[89,105],"discovered":[90],"not":[91],"from":[92,99],"population":[94],"whole,":[97],"but":[98],"individual":[100],"communities,":[101],"where":[102],"more":[106],"pronounced.":[107],"DIVa":[108,146],"exploits":[109],"decentralized":[111],"learning":[112],"approach":[113],"and":[114,129],"ensures":[115],"privacy":[116],"preservation":[117],"each":[119],"node":[120],"OSN":[123,142],"independently":[124],"processes":[125],"its":[126,135],"local":[127],"data":[128],"required":[131],"know":[133],"only":[134],"direct":[136],"neighbors.":[137],"Extensive":[138],"experiments":[139],"using":[140],"real-world":[141],"datasets":[143],"show":[144],"able":[148],"extract":[150],"fine-grained":[151],"community-aware":[152],"attributes":[156],"average":[158],"improvements":[159],"up":[160],"50%":[162],"than":[163],"global":[165],"approach.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}