{"id":"https://openalex.org/W4234655172","doi":"https://doi.org/10.1109/asonam.2016.7752283","title":"Emotion -and area-driven topic shift analysis in social media discussions","display_name":"Emotion -and area-driven topic shift analysis in social media discussions","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W4234655172","doi":"https://doi.org/10.1109/asonam.2016.7752283"},"language":"en","primary_location":{"id":"doi:10.1109/asonam.2016.7752283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2016.7752283","pdf_url":null,"source":{"id":"https://openalex.org/S4363608003","display_name":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-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/A5052193317","display_name":"Kamil Topal","orcid":"https://orcid.org/0000-0002-0266-7365"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kamil Topal","raw_affiliation_strings":["Electrical Enginnering and Computer Science, Case Western Reserve University, Cleveland, OH"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Enginnering and Computer Science, Case Western Reserve University, Cleveland, OH","institution_ids":["https://openalex.org/I58956616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035558591","display_name":"Mehmet Koyut\u00fcrk","orcid":"https://orcid.org/0000-0002-3434-5512"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mehmet Koyuturk","raw_affiliation_strings":["Electrical Enginnering and Computer Science, Case Western Reserve University, Cleveland, OH"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Enginnering and Computer Science, Case Western Reserve University, Cleveland, OH","institution_ids":["https://openalex.org/I58956616"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016412404","display_name":"G\u00fcltekin \u00d6zsoyo\u011flu","orcid":null},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gultekin Ozsoyoglu","raw_affiliation_strings":["Electrical Enginnering and Computer Science, Case Western Reserve University, Cleveland, OH"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Enginnering and Computer Science, Case Western Reserve University, Cleveland, OH","institution_ids":["https://openalex.org/I58956616"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5589,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.81032617,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"510","last_page":"518"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9979000091552734,"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":0.9979000091552734,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.994700014591217,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9940999746322632,"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":0.6232246160507202},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6195976138114929},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3398870825767517},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.29971033334732056}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6232246160507202},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6195976138114929},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3398870825767517},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.29971033334732056}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asonam.2016.7752283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2016.7752283","pdf_url":null,"source":{"id":"https://openalex.org/S4363608003","display_name":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W86817316","https://openalex.org/W1493379323","https://openalex.org/W1514274094","https://openalex.org/W1662133657","https://openalex.org/W1833209954","https://openalex.org/W1977556410","https://openalex.org/W1978394996","https://openalex.org/W2022204871","https://openalex.org/W2065427498","https://openalex.org/W2088627781","https://openalex.org/W2098162425","https://openalex.org/W2099513082","https://openalex.org/W2099842512","https://openalex.org/W2129620481","https://openalex.org/W2149628368","https://openalex.org/W2191779256","https://openalex.org/W2404480901","https://openalex.org/W3133994440","https://openalex.org/W4213009331","https://openalex.org/W4213102919","https://openalex.org/W6603571278","https://openalex.org/W6671037700","https://openalex.org/W6675150259","https://openalex.org/W6687711781","https://openalex.org/W6713894373"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Internet-based":[0],"social":[1,54],"media":[2,55],"platforms":[3],"allow":[4],"individuals":[5],"to":[6,105,109],"discuss/comment":[7],"on":[8,62],"the":[9,37,40,47,60,79,82,93,110],"\u201ctopic\u201d":[10],"of":[11,20,39,49,65,81,92,115],"an":[12,15],"article":[13],"in":[14,23,52,97],"interactive":[16],"manner.":[17],"The":[18],"topic":[19,38,50,63,75,94],"a":[21,89],"comment/reply":[22],"these":[24],"discussions":[25],"occasionally":[26],"shifts,":[27],"sometimes":[28],"drastically":[29],"and":[30,57,77,107,112],"abruptly,":[31],"other":[32],"times":[33],"slightly,":[34],"away":[35],"from":[36],"article.":[41],"In":[42],"this":[43],"paper":[44],"we":[45],"study":[46],"phenomena":[48,96],"shifts":[51,64],"article-originated":[53],"comments,":[56,98],"identify":[58],"quantitatively":[59],"effects":[61],"comments":[66],"(i)":[67],"emotion":[68,72],"levels":[69],"(of":[70],"various":[71],"dimensions),":[73],"(ii)":[74],"areas,":[76],"(iii)":[78],"structure":[80],"discussion":[83],"tree.":[84],"We":[85],"show":[86],"that,":[87],"with":[88],"better":[90],"understanding":[91],"shift":[95],"automated":[99],"systems":[100],"can":[101],"easily":[102],"be":[103],"built":[104],"personalize":[106],"cater":[108],"comment-browsing":[111],"comment-viewing":[113],"needs":[114],"different":[116],"users.":[117]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}