{"id":"https://openalex.org/W2888139811","doi":"https://doi.org/10.1109/tvcg.2018.2865023","title":"Lessons Learned Developing a Visual Analytics Solution for Investigative Analysis of Scamming Activities","display_name":"Lessons Learned Developing a Visual Analytics Solution for Investigative Analysis of Scamming Activities","publication_year":2018,"publication_date":"2018-08-20","ids":{"openalex":"https://openalex.org/W2888139811","doi":"https://doi.org/10.1109/tvcg.2018.2865023","mag":"2888139811","pmid":"https://pubmed.ncbi.nlm.nih.gov/30136969"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2018.2865023","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2018.2865023","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"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 Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5025431592","display_name":"Jay Koven","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jay Koven","raw_affiliation_strings":["New York University, New York, NY, US"],"affiliations":[{"raw_affiliation_string":"New York University, New York, NY, US","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078653899","display_name":"Cristian Felix","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cristian Felix","raw_affiliation_strings":["New York University, New York, NY, US"],"affiliations":[{"raw_affiliation_string":"New York University, New York, NY, US","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037287342","display_name":"Hossein Siadati","orcid":"https://orcid.org/0000-0002-5293-8450"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hossein Siadati","raw_affiliation_strings":["New York University, New York, NY, US"],"affiliations":[{"raw_affiliation_string":"New York University, New York, NY, US","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066300885","display_name":"Markus Jakobsson","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Markus Jakobsson","raw_affiliation_strings":["Amber Solutions Inc"],"affiliations":[{"raw_affiliation_string":"Amber Solutions Inc","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102923390","display_name":"Enrico Bertini","orcid":"https://orcid.org/0000-0002-9932-0551"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Enrico Bertini","raw_affiliation_strings":["New York University, New York, NY, US"],"affiliations":[{"raw_affiliation_string":"New York University, New York, NY, US","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5025431592"],"corresponding_institution_ids":["https://openalex.org/I57206974"],"apc_list":null,"apc_paid":null,"fwci":0.9401,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.80750265,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"25","issue":"1","first_page":"225","last_page":"234"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12034","display_name":"Digital and Cyber Forensics","score":0.9948999881744385,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9789000153541565,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/metadata","display_name":"Metadata","score":0.8663225173950195},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.840432345867157},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6112890243530273},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.5952618718147278},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5442325472831726},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4574425220489502},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4450322687625885},{"id":"https://openalex.org/keywords/beagle","display_name":"Beagle","score":0.43314486742019653},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4318586587905884},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.41320565342903137},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2810112237930298}],"concepts":[{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.8663225173950195},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.840432345867157},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6112890243530273},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.5952618718147278},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5442325472831726},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4574425220489502},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4450322687625885},{"id":"https://openalex.org/C2776820430","wikidata":"https://www.wikidata.org/wiki/Q21102","display_name":"Beagle","level":2,"score":0.43314486742019653},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4318586587905884},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.41320565342903137},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2810112237930298},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvcg.2018.2865023","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2018.2865023","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"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 Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:30136969","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30136969","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on visualization and computer graphics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W68896595","https://openalex.org/W1577253155","https://openalex.org/W1965769239","https://openalex.org/W1970569592","https://openalex.org/W1983832819","https://openalex.org/W1989268727","https://openalex.org/W1990628890","https://openalex.org/W2003787057","https://openalex.org/W2006281793","https://openalex.org/W2012557827","https://openalex.org/W2084939613","https://openalex.org/W2090687959","https://openalex.org/W2093903345","https://openalex.org/W2096765155","https://openalex.org/W2099561919","https://openalex.org/W2107927428","https://openalex.org/W2110746712","https://openalex.org/W2119895915","https://openalex.org/W2120095713","https://openalex.org/W2138199375","https://openalex.org/W2142493242","https://openalex.org/W2145983964","https://openalex.org/W2155565025","https://openalex.org/W2166699593","https://openalex.org/W2498652880","https://openalex.org/W4234292174","https://openalex.org/W4234385570","https://openalex.org/W4256522398","https://openalex.org/W6602847750","https://openalex.org/W6678157334"],"related_works":["https://openalex.org/W2354875722","https://openalex.org/W2362367986","https://openalex.org/W348707231","https://openalex.org/W2571228289","https://openalex.org/W2064719069","https://openalex.org/W3041760129","https://openalex.org/W4210310791","https://openalex.org/W2062940763","https://openalex.org/W2937343495","https://openalex.org/W4360833258"],"abstract_inverted_index":{"The":[0],"forensic":[1,58],"investigation":[2],"of":[3,29],"communication":[4],"datasets":[5,62],"which":[6,88],"contain":[7],"unstructured":[8],"text,":[9],"social":[10],"network":[11],"information,":[12],"and":[13,47],"metadata":[14,48],"is":[15,20],"a":[16,50,57,85,90,118],"complex":[17,69],"task":[18],"that":[19,38,63,94],"becoming":[21],"more":[22],"important":[23,75],"due":[24],"to":[25,42,66,73,97,117],"the":[26,44,109],"immense":[27],"amount":[28],"data":[30],"being":[31],"collected.":[32],"Currently":[33],"there":[34],"are":[35],"limited":[36],"approaches":[37],"allow":[39],"an":[40],"investigator":[41],"explore":[43],"network,":[45],"text":[46],"in":[49,71,77],"unified":[51],"manner.":[52],"We":[53,100],"developed":[54],"Beagle":[55,80,105],"as":[56,106,108],"tool":[59],"for":[60],"email":[61,78,92],"allows":[64],"investigators":[65],"flexibly":[67],"form":[68],"queries":[70],"order":[72],"discover":[74],"information":[76],"data.":[79],"was":[81,95],"successfully":[82],"deployed":[83],"at":[84],"security":[86],"firm":[87],"had":[89],"large":[91],"dataset":[93],"difficult":[96,119],"properly":[98],"investigate.":[99],"discuss":[101],"our":[102],"experience":[103],"developing":[104],"well":[107],"lessons":[110],"we":[111],"learned":[112],"applying":[113],"visual":[114],"analytic":[115],"techniques":[116],"real-world":[120],"problem.":[121]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}