{"id":"https://openalex.org/W2999940446","doi":"https://doi.org/10.4018/ijthi.2020040103","title":"Analyzing Social Emotions in Social Network Using Graph Based Co-Ranking Algorithm","display_name":"Analyzing Social Emotions in Social Network Using Graph Based Co-Ranking Algorithm","publication_year":2020,"publication_date":"2020-01-17","ids":{"openalex":"https://openalex.org/W2999940446","doi":"https://doi.org/10.4018/ijthi.2020040103","mag":"2999940446"},"language":"en","primary_location":{"id":"doi:10.4018/ijthi.2020040103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijthi.2020040103","pdf_url":null,"source":{"id":"https://openalex.org/S130700065","display_name":"International Journal of Technology and Human Interaction","issn_l":"1548-3908","issn":["1548-3908","1548-3916"],"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 of Technology and Human Interaction","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/A5022917401","display_name":"K Priya","orcid":null},"institutions":[{"id":"https://openalex.org/I43663321","display_name":"Hindustan Institute of Technology and Science","ror":"https://ror.org/037tgdn13","country_code":"IN","type":"education","lineage":["https://openalex.org/I43663321"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kani Priya","raw_affiliation_strings":["Hindustan University, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hindustan University, Chennai, India","institution_ids":["https://openalex.org/I43663321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113855599","display_name":"R. Krishnaveni","orcid":null},"institutions":[{"id":"https://openalex.org/I43663321","display_name":"Hindustan Institute of Technology and Science","ror":"https://ror.org/037tgdn13","country_code":"IN","type":"education","lineage":["https://openalex.org/I43663321"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Krishnaveni R.","raw_affiliation_strings":["Hindustan University, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hindustan University, Chennai, India","institution_ids":["https://openalex.org/I43663321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113996016","display_name":"M. Krishnamurthy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Krishnamurthy M.","raw_affiliation_strings":["KCG College of Technology, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KCG College of Technology, Chennai, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055423767","display_name":"S. Bairavel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bairavel S.","raw_affiliation_strings":["KCG College of Technology, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KCG College of Technology, Chennai, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4062,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68070054,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"16","issue":"2","first_page":"23","last_page":"33"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9983000159263611,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.998199999332428,"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/computer-science","display_name":"Computer science","score":0.7637085914611816},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5447635650634766},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5400652885437012},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5191797018051147},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.5166971683502197},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5146521329879761},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.503088653087616},{"id":"https://openalex.org/keywords/user-generated-content","display_name":"User-generated content","score":0.49285364151000977},{"id":"https://openalex.org/keywords/fraction","display_name":"Fraction (chemistry)","score":0.45355233550071716},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4357652962207794},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.43199366331100464},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4317830801010132},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4085053503513336},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3205024003982544},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23360559344291687},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1258430778980255}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7637085914611816},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5447635650634766},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5400652885437012},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5191797018051147},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.5166971683502197},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5146521329879761},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.503088653087616},{"id":"https://openalex.org/C101293273","wikidata":"https://www.wikidata.org/wiki/Q579716","display_name":"User-generated content","level":3,"score":0.49285364151000977},{"id":"https://openalex.org/C149629883","wikidata":"https://www.wikidata.org/wiki/Q660926","display_name":"Fraction (chemistry)","level":2,"score":0.45355233550071716},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4357652962207794},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.43199366331100464},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4317830801010132},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4085053503513336},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3205024003982544},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23360559344291687},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1258430778980255},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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},{"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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijthi.2020040103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijthi.2020040103","pdf_url":null,"source":{"id":"https://openalex.org/S130700065","display_name":"International Journal of Technology and Human Interaction","issn_l":"1548-3908","issn":["1548-3908","1548-3916"],"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 of Technology and Human Interaction","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jthi00:v:16:y:2020:i:2:p:23-33","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJTHI.2020040103","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":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W37473190","https://openalex.org/W359818833","https://openalex.org/W570968517","https://openalex.org/W1729424324","https://openalex.org/W1880262756","https://openalex.org/W1984479939","https://openalex.org/W2022204871","https://openalex.org/W2025478229","https://openalex.org/W2027367630","https://openalex.org/W2032374598","https://openalex.org/W2099670472","https://openalex.org/W2108646579","https://openalex.org/W2110122692","https://openalex.org/W2119233164","https://openalex.org/W2128056097","https://openalex.org/W2134592850","https://openalex.org/W2134684245","https://openalex.org/W2141063789","https://openalex.org/W2143376306","https://openalex.org/W2169113179","https://openalex.org/W2171468534","https://openalex.org/W2199803028","https://openalex.org/W2404480901","https://openalex.org/W2787893582","https://openalex.org/W3125672425","https://openalex.org/W3141714916","https://openalex.org/W4211186029"],"related_works":["https://openalex.org/W3089396779","https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W4301373556","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989","https://openalex.org/W3125676757"],"abstract_inverted_index":{"Twitter":[0],"has":[1,22,44,65,76],"become":[2],"exceedingly":[3],"popular,":[4],"with":[5,29,194,221],"hundreds":[6],"of":[7,9,19,50,59,69,136,217],"millions":[8],"tweets":[10,36,52,95],"being":[11],"posted":[12],"every":[13],"day":[14],"on":[15,78,152],"a":[16,47,67],"wide":[17],"variety":[18],"topics.":[20],"This":[21,144],"helped":[23],"make":[24],"real-time":[25,82,111],"search":[26,31,90],"applications":[27],"possible":[28,158],"leading":[30,89],"engines":[32,91],"routinely":[33],"displaying":[34,80],"relevant":[35],"in":[37,62,99,175,188,192],"response":[38],"to":[39,166,182],"user":[40,112],"queries.":[41],"Recent":[42],"research":[43,70,75],"shown":[45],"that":[46],"considerable":[48],"fraction":[49],"these":[51,161],"are":[53],"about":[54,84],"\u201cevents,\u201d":[55],"and":[56,109,127,131,148,155,173,214],"the":[57,63,88,97,157,168,203,208,211,215,218],"detection":[58],"novel":[60],"events":[61],"tweet-stream":[64],"attracted":[66],"lot":[68],"interest.":[71],"However,":[72,119],"very":[73],"little":[74],"focused":[77],"properly":[79],"this":[81,117],"information":[83],"events.":[85],"For":[86],"instance,":[87],"simply":[92],"display":[93],"all":[94],"matching":[96],"queries":[98],"reverse":[100],"chronological":[101],"order.":[102],"Online":[103],"content":[104,114,125,137],"exhibits":[105],"rich":[106],"temporal":[107,120],"dynamics,":[108],"diverse":[110],"generated":[113],"further":[115],"intensifies":[116],"process.":[118],"patterns":[121],"by":[122,132],"which":[123,133],"online":[124],"grows":[126],"fades":[128],"over":[129],"time,":[130],"different":[134,176],"pieces":[135],"compete":[138],"for":[139],"attention":[140],"remain":[141],"largely":[142],"unexplored.":[143],"article":[145],"describes":[146],"tracking":[147],"analyzing":[149],"public":[150,171],"sentiment":[151],"social":[153,212],"networks":[154],"finding":[156],"reasons":[159],"causing":[160],"variations.":[162],"It":[163],"is":[164],"important":[165],"find":[167],"decision":[169],"from":[170,210],"views":[172],"opinion":[174,219],"domain.":[177],"They":[178],"can":[179],"be":[180],"used":[181],"discover":[183],"special":[184],"topics":[185],"or":[186],"aspects":[187],"one":[189],"text":[190,197],"collection":[191],"comparison":[193],"another":[195],"background":[196],"collection.":[198],"The":[199],"implemented":[200],"method":[201],"attains":[202],"95%":[204],"accuracy":[205],"while":[206],"predict":[207],"sentiments":[209],"websites":[213],"96.3%":[216],"rate":[220],"minimum":[222],"time.":[223]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
