{"id":"https://openalex.org/W2913546631","doi":"https://doi.org/10.4018/ijswis.2019040101","title":"A Real-Time Twitter Trend Analysis and Visualization Framework","display_name":"A Real-Time Twitter Trend Analysis and Visualization Framework","publication_year":2019,"publication_date":"2019-02-06","ids":{"openalex":"https://openalex.org/W2913546631","doi":"https://doi.org/10.4018/ijswis.2019040101","mag":"2913546631"},"language":"en","primary_location":{"id":"doi:10.4018/ijswis.2019040101","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijswis.2019040101","pdf_url":null,"source":{"id":"https://openalex.org/S181240966","display_name":"International Journal on Semantic Web and Information Systems","issn_l":"1552-6283","issn":["1552-6283","1552-6291"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Semantic Web and 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/A5034298611","display_name":"Jamuna S. Murthy","orcid":"https://orcid.org/0000-0002-9114-0441"},"institutions":[{"id":"https://openalex.org/I196608512","display_name":"PES University","ror":"https://ror.org/05m169e78","country_code":"IN","type":"education","lineage":["https://openalex.org/I196608512"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jamuna S Murthy","raw_affiliation_strings":["PES University, Bengaluru, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PES University, Bengaluru, India","institution_ids":["https://openalex.org/I196608512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101076100","display_name":"Siddesh G.M.","orcid":null},"institutions":[{"id":"https://openalex.org/I302410947","display_name":"M S Ramaiah University of Applied Sciences","ror":"https://ror.org/02anh8x74","country_code":"IN","type":"education","lineage":["https://openalex.org/I302410947"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Siddesh G.M.","raw_affiliation_strings":["Ramaiah Institute of Technology, Bengaluru, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ramaiah Institute of Technology, Bengaluru, India","institution_ids":["https://openalex.org/I302410947"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110852439","display_name":"Srinivasa K.G.","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094264","display_name":"National Institute of Technical Teachers\u2019 Training and Research","ror":"https://ror.org/00k8f0f41","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210094264"]},{"id":"https://openalex.org/I4210094717","display_name":"National Institute of Technical Teachers Training and Research","ror":"https://ror.org/00rpc7w94","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210094717"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Srinivasa K.G.","raw_affiliation_strings":["National Institute of Technical Teachers' Training & Research, Chandigarh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Technical Teachers' Training & Research, Chandigarh, India","institution_ids":["https://openalex.org/I4210094717","https://openalex.org/I4210094264"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8135,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.76452989,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"15","issue":"2","first_page":"1","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9990000128746033,"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":0.9990000128746033,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9984999895095825,"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":0.9927999973297119,"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":0.785086452960968},{"id":"https://openalex.org/keywords/trend-analysis","display_name":"Trend analysis","score":0.7601065635681152},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5889207720756531},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5267966389656067},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.43179360032081604},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3369109630584717},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2250150442123413},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.21941688656806946}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.785086452960968},{"id":"https://openalex.org/C127142870","wikidata":"https://www.wikidata.org/wiki/Q7838279","display_name":"Trend analysis","level":2,"score":0.7601065635681152},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5889207720756531},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5267966389656067},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.43179360032081604},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3369109630584717},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2250150442123413},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.21941688656806946}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijswis.2019040101","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijswis.2019040101","pdf_url":null,"source":{"id":"https://openalex.org/S181240966","display_name":"International Journal on Semantic Web and Information Systems","issn_l":"1552-6283","issn":["1552-6283","1552-6291"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Semantic Web and Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jswis0:v:15:y:2019:i:2:p:1-21","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSWIS.2019040101","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W575980715","https://openalex.org/W1496632887","https://openalex.org/W2002258219","https://openalex.org/W2123442489","https://openalex.org/W2125099364","https://openalex.org/W2135415614","https://openalex.org/W2150874198","https://openalex.org/W2168332560","https://openalex.org/W2250899105","https://openalex.org/W2317615753","https://openalex.org/W2507555926","https://openalex.org/W2535887726","https://openalex.org/W2563506261","https://openalex.org/W2767029709","https://openalex.org/W2792181867"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2068608913","https://openalex.org/W3124914020","https://openalex.org/W2141033859","https://openalex.org/W2077542787","https://openalex.org/W2156434174","https://openalex.org/W2071701083","https://openalex.org/W2383687187","https://openalex.org/W2121496884","https://openalex.org/W2387910809"],"abstract_inverted_index":{"Trend":[0,87],"analysis":[1,112],"over":[2],"Twitter":[3,34,56,70],"offers":[4],"organizations":[5],"a":[6,20,82,100,142,152],"fast":[7],"and":[8,25,155],"effective":[9],"way":[10],"of":[11,23,40,99,130,158],"predicting":[12,30],"the":[13,17,31,41,46,55,67,77,97,124,131,134],"future":[14],"trends.":[15],"In":[16],"recent":[18],"years,":[19],"wide":[21],"range":[22],"indicators":[24],"methods":[26],"were":[27],"used":[28],"for":[29,92,113],"trend":[32,61,68,93,114],"on":[33,45,54,69],"with":[35],"varying":[36],"results,":[37],"unfortunately":[38],"most":[39],"research":[42,126],"focused":[43],"only":[44],"emerging":[47],"trends":[48,160],"which":[49,95,137],"has":[50],"gained":[51],"long-term":[52],"attention":[53,73],"platform.":[57],"This":[58],"article":[59],"depicts":[60],"variations,":[62],"i.e.":[63],"to":[64,123,140,161],"predict":[65],"whether":[66],"will":[71],"gain":[72],"or":[74],"not":[75],"in":[76],"next":[78],"few":[79],"hours.":[80],"Hence":[81],"novel":[83],"method":[84],"called:":[85],"\u201cTwitter":[86],"Momentum":[88],"(TTM)\u201d":[89],"is":[90,96,116],"introduced":[91],"prediction":[94],"enhancement":[98],"well-known":[101],"stock":[102],"market":[103],"indicator":[104],"called":[105,146],"moving":[106],"average":[107],"convergence":[108],"divergence":[109],"(MACD).":[110],"Reason":[111],"variation":[115],"also":[117],"carried":[118],"out":[119],"as":[120,151],"an":[121],"extension":[122],"authors'":[125],"work.":[127],"An":[128],"evaluation":[129],"framework":[132],"showed":[133],"best":[135],"results":[136],"are":[138],"applied":[139],"build":[141],"real-time":[143,153],"web":[144],"application":[145,149],"\u201cTwitTrend.\u201d":[147],"The":[148],"acts":[150],"update":[154],"recommendation":[156],"system":[157],"top":[159],"users.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
