{"id":"https://openalex.org/W2537134122","doi":"https://doi.org/10.1504/ijbdi.2016.10000838","title":"Multivariate adaptive community detection in Twitter","display_name":"Multivariate adaptive community detection in Twitter","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2537134122","doi":"https://doi.org/10.1504/ijbdi.2016.10000838","mag":"2537134122"},"language":"en","primary_location":{"id":"doi:10.1504/ijbdi.2016.10000838","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijbdi.2016.10000838","pdf_url":null,"source":{"id":"https://openalex.org/S4210219838","display_name":"International Journal of Big Data Intelligence","issn_l":"2053-1389","issn":["2053-1389","2053-1397"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Big Data Intelligence","raw_type":"journal-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/A5054898062","display_name":"Moustafa Ghanem","orcid":"https://orcid.org/0000-0001-5660-4565"},"institutions":[{"id":"https://openalex.org/I120250893","display_name":"New York University Abu Dhabi","ror":"https://ror.org/00e5k0821","country_code":"AE","type":"education","lineage":["https://openalex.org/I120250893","https://openalex.org/I57206974"]},{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["AE","GB"],"is_corresponding":false,"raw_author_name":"Moustafa M. Ghanem","raw_affiliation_strings":["Department of Computing, Imperial College London, UK; New York University Abu Dhabi, United Arab Emirates"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, Imperial College London, UK; New York University Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I120250893","https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089887413","display_name":"Nasser Zalmout","orcid":null},"institutions":[{"id":"https://openalex.org/I60488453","display_name":"Middlesex University","ror":"https://ror.org/01rv4p989","country_code":"GB","type":"education","lineage":["https://openalex.org/I60488453"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nasser Zalmout","raw_affiliation_strings":["Deceased; formerly of: School of Science and Technology, Middlesex University, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deceased; formerly of: School of Science and Technology, Middlesex University, London, UK","institution_ids":["https://openalex.org/I60488453"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2149,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58948982,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3","issue":"4","first_page":"239","last_page":"239"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9970999956130981,"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"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9970999956130981,"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"}},{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9276999831199646,"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"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9193999767303467,"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/multivariate-statistics","display_name":"Multivariate statistics","score":0.7194136381149292},{"id":"https://openalex.org/keywords/multivariate-analysis","display_name":"Multivariate analysis","score":0.5445877909660339},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42942681908607483},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1379198133945465}],"concepts":[{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7194136381149292},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.5445877909660339},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42942681908607483},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1379198133945465}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijbdi.2016.10000838","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijbdi.2016.10000838","pdf_url":null,"source":{"id":"https://openalex.org/S4210219838","display_name":"International Journal of Big Data Intelligence","issn_l":"2053-1389","issn":["2053-1389","2053-1397"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Big Data Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2406638334","https://openalex.org/W40745829","https://openalex.org/W1978357124","https://openalex.org/W1974427739","https://openalex.org/W1578824628","https://openalex.org/W1570805059","https://openalex.org/W2032728545","https://openalex.org/W4250754046","https://openalex.org/W4318262572","https://openalex.org/W2036849593"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,33,108],"present":[4],"and":[5,40,46,96,137,144],"apply":[6],"a":[7,102],"generic":[8],"approach":[9],"for":[10,27,78],"multivariate":[11,18],"community":[12,64,142],"detection":[13,65,143],"from":[14,31],"Twitter":[15],"data.":[16],"The":[17,54,71],"nature":[19],"of":[20,61,94,104,115,125,133],"social":[21,99],"media":[22],"communication":[23],"in":[24,98],"general":[25],"provides":[26],"multidimensional":[28],"interaction":[29,41],"patterns,":[30],"which":[32],"were":[34],"able":[35],"to":[36,67,82],"analyse":[37],"different":[38],"similarity":[39],"patterns":[42],"between":[43,141],"the":[44,59,83,92,110,113,116,123,126,131,134,138],"users,":[45],"construct":[47],"multiple":[48],"distance":[49,56],"matrices":[50,57],"based":[51,87],"on":[52,88],"them.":[53],"developed":[55],"facilitate":[58],"application":[60],"traditional":[62],"network-centric":[63],"techniques,":[66],"identify":[68],"users":[69],"clusters.":[70],"paper":[72],"also":[73,120],"incorporates":[74],"an":[75],"adaptive":[76],"technique":[77],"classifying":[79],"new":[80],"content":[81],"already":[84],"detected":[85,117],"communities,":[86],"Bayesian":[89],"classification,":[90],"approaching":[91],"issues":[93],"dynamicity":[95,132],"evolution":[97,136],"media.":[100],"Using":[101],"dataset":[103],"UK":[105],"political":[106],"tweets,":[107],"evaluate":[109],"factors":[111],"affecting":[112],"quality":[114],"communities.":[118],"We":[119],"investigate":[121],"how":[122],"accuracy":[124],"classifier":[127,145],"is":[128],"affected":[129],"by":[130],"network":[135],"time":[139],"elapsed":[140],"application.":[146]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}