{"id":"https://openalex.org/W2903032581","doi":"https://doi.org/10.1108/ijwis-11-2017-0080","title":"Analysis of tweets to find the basis of popularity based on events semantic similarity","display_name":"Analysis of tweets to find the basis of popularity based on events semantic similarity","publication_year":2018,"publication_date":"2018-11-05","ids":{"openalex":"https://openalex.org/W2903032581","doi":"https://doi.org/10.1108/ijwis-11-2017-0080","mag":"2903032581"},"language":"en","primary_location":{"id":"doi:10.1108/ijwis-11-2017-0080","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijwis-11-2017-0080","pdf_url":null,"source":{"id":"https://openalex.org/S145159096","display_name":"International Journal of Web Information Systems","issn_l":"1744-0084","issn":["1744-0084","1744-0092"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Web Information Systems","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/A5029418437","display_name":"Rajat Mudgal","orcid":"https://orcid.org/0009-0008-6260-6522"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Rajat Kumar Mudgal","raw_affiliation_strings":["Department of Computer Science Engineering, Indian Institute of Technology Roorkee, Roorkee, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science Engineering, Indian Institute of Technology Roorkee, Roorkee, India","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049887458","display_name":"Rajdeep Niyogi","orcid":"https://orcid.org/0000-0003-1664-4882"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rajdeep Niyogi","raw_affiliation_strings":["Department of Computer Science Engineering, Indian Institute of Technology Roorkee, Roorkee, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science Engineering, Indian Institute of Technology Roorkee, Roorkee, India","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052630971","display_name":"Alfredo Milani","orcid":"https://orcid.org/0000-0003-4534-1805"},"institutions":[{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alfredo Milani","raw_affiliation_strings":["Department of Mathematics and Computer Science, University of Perugia, Perugia, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, University of Perugia, Perugia, Italy","institution_ids":["https://openalex.org/I27483092"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022438396","display_name":"Valentina Franzoni","orcid":"https://orcid.org/0000-0002-2972-7188"},"institutions":[{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Valentina Franzoni","raw_affiliation_strings":["Department of Mathematics and Computer Science, University of Perugia, Perugia, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, University of Perugia, Perugia, Italy","institution_ids":["https://openalex.org/I27483092"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5029418437"],"corresponding_institution_ids":["https://openalex.org/I154851008"],"apc_list":null,"apc_paid":null,"fwci":0.6033,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.68379008,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"14","issue":"4","first_page":"438","last_page":"452"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9954000115394592,"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/T10028","display_name":"Topic Modeling","score":0.9912999868392944,"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/popularity","display_name":"Popularity","score":0.9373481273651123},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7766945362091064},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.671675443649292},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6195946931838989},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5922588109970093},{"id":"https://openalex.org/keywords/terminology","display_name":"Terminology","score":0.5700347423553467},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.5430907011032104},{"id":"https://openalex.org/keywords/originality","display_name":"Originality","score":0.5067902207374573},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4442563056945801},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.41406819224357605},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.37116068601608276},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35245251655578613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3331853151321411},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07959595322608948}],"concepts":[{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.9373481273651123},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7766945362091064},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.671675443649292},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6195946931838989},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5922588109970093},{"id":"https://openalex.org/C547195049","wikidata":"https://www.wikidata.org/wiki/Q1725664","display_name":"Terminology","level":2,"score":0.5700347423553467},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.5430907011032104},{"id":"https://openalex.org/C2776950860","wikidata":"https://www.wikidata.org/wiki/Q2914681","display_name":"Originality","level":3,"score":0.5067902207374573},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4442563056945801},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.41406819224357605},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.37116068601608276},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35245251655578613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3331853151321411},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07959595322608948},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C11012388","wikidata":"https://www.wikidata.org/wiki/Q170658","display_name":"Creativity","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/ijwis-11-2017-0080","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijwis-11-2017-0080","pdf_url":null,"source":{"id":"https://openalex.org/S145159096","display_name":"International Journal of Web Information Systems","issn_l":"1744-0084","issn":["1744-0084","1744-0092"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Web Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4000000059604645,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W165525898","https://openalex.org/W304362480","https://openalex.org/W763320543","https://openalex.org/W1515833219","https://openalex.org/W1534625513","https://openalex.org/W1704676486","https://openalex.org/W1860364451","https://openalex.org/W1935094344","https://openalex.org/W1944779000","https://openalex.org/W1973897992","https://openalex.org/W2018547205","https://openalex.org/W2020360881","https://openalex.org/W2063185129","https://openalex.org/W2082813186","https://openalex.org/W2092559277","https://openalex.org/W2092790950","https://openalex.org/W2095268565","https://openalex.org/W2096765155","https://openalex.org/W2128721751","https://openalex.org/W2137349054","https://openalex.org/W2156413587","https://openalex.org/W2245517085","https://openalex.org/W2251939518","https://openalex.org/W2293165966","https://openalex.org/W2345112857","https://openalex.org/W2396025814","https://openalex.org/W2429972724","https://openalex.org/W2600126064","https://openalex.org/W2730729620","https://openalex.org/W2743034800","https://openalex.org/W2744334197","https://openalex.org/W2948442405"],"related_works":["https://openalex.org/W2041415459","https://openalex.org/W2593155302","https://openalex.org/W2072812638","https://openalex.org/W3126095231","https://openalex.org/W3216669355","https://openalex.org/W2114797768","https://openalex.org/W2380654781","https://openalex.org/W2176214140","https://openalex.org/W2516873349","https://openalex.org/W1990601549"],"abstract_inverted_index":{"Purpose":[0],"The":[1,110,185,199,257],"purpose":[2],"of":[3,21,23,36,65,88,95,100,162,172,201,228,239,250,270,278],"this":[4,73],"paper":[5,264],"is":[6,206,255,265],"to":[7,17,39,57,80,108,117,133,153,216,222],"propose":[8],"and":[9,26,43,97,151,182,191],"experiment":[10],"a":[11,24,66,78,89,101,134,169,271],"framework":[12,79],"for":[13,179,246],"analysing":[14,37],"the":[15,19,28,31,34,60,63,75,83,86,93,98,113,124,155,163,195,219,223,226,237,240,243,248,263,276],"tweets":[16,38,120,125,174],"find":[18,58,81],"basis":[20],"popularity":[22,64,87,180,251],"person":[25,67,90],"extract":[27,154],"reasons":[29,61,84,156,183,196],"supporting":[30,157],"popularity.":[32,158,198],"Although":[33,123],"problem":[35],"detect":[40],"popular":[41],"events":[42,96],"trends":[44],"has":[45,54,165],"recently":[46],"attracted":[47],"extensive":[48],"research":[49],"efforts,":[50],"not":[51],"much":[52],"emphasis":[53],"been":[55,166],"given":[56],"out":[59,82],"behind":[62,85,197],"based":[68,91,207],"on":[69,92,168,208,225,231],"tweets.":[70,109],"Design/methodology/approach":[71],"In":[72],"paper,":[74],"authors":[76],"introduce":[77],"analysis":[94],"evaluation":[99],"Web-based":[102,202],"semantic":[103,114,203,258,279],"set":[104,171,259],"similarity":[105,115,204,220,260,272],"measure":[106,116,205],"applied":[107],"methodology":[111],"uses":[112],"group":[118],"similar":[119],"in":[121,193,252,262,275],"events.":[122],"cannot":[126],"contain":[127],"identical":[128],"hashtags,":[129],"they":[130],"can":[131],"refer":[132],"unique":[135],"topic":[136],"with":[137],"equivalent":[138],"or":[139],"related":[140,149],"terminology.":[141],"A":[142],"special":[143],"data":[144,170],"structure":[145],"maintains":[146],"event":[147],"information,":[148],"keywords":[150],"statistics":[152,209],"Findings":[159],"An":[160],"implementation":[161],"algorithms":[164],"experimented":[167],"218,490":[173],"from":[175,211],"five":[176],"different":[177],"countries":[178],"detection":[181],"extraction.":[184],"experimental":[186],"results":[187],"are":[188],"quite":[189],"encouraging":[190],"consistent":[192],"determining":[194],"use":[200],"extracted":[210],"search":[212],"engines,":[213],"it":[214],"allows":[215],"dynamically":[217],"adapt":[218],"values":[221],"variation":[224],"correlation":[227],"words":[229],"depending":[230],"current":[232],"social":[233],"trends.":[234],"Originality/value":[235],"To":[236],"best":[238],"authors\u2019":[241],"knowledge,":[242],"proposed":[244],"method":[245],"finding":[247],"reason":[249],"short":[253],"messages":[254],"original.":[256],"presented":[261],"an":[266],"original":[267],"asymmetric":[268],"variant":[269],"scheme":[273],"developed":[274],"context":[277],"image":[280],"recognition.":[281]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}