{"id":"https://openalex.org/W4406458250","doi":"https://doi.org/10.1109/bigdata62323.2024.10825496","title":"Next Topic Recommendation for Influencers on Social Media","display_name":"Next Topic Recommendation for Influencers on Social Media","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406458250","doi":"https://doi.org/10.1109/bigdata62323.2024.10825496"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825496","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825496","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/2433/297618","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014584910","display_name":"Masanobu Iwanaga","orcid":"https://orcid.org/0000-0002-8930-6940"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Masafumi Iwanaga","raw_affiliation_strings":["Kyoto University,Kyoto,Japan"],"affiliations":[{"raw_affiliation_string":"Kyoto University,Kyoto,Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103793743","display_name":"Keishi Tajima","orcid":null},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keishi Tajima","raw_affiliation_strings":["Kyoto University,Kyoto,Japan"],"affiliations":[{"raw_affiliation_string":"Kyoto University,Kyoto,Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049370647","display_name":"Yoko Yamakata","orcid":"https://orcid.org/0000-0003-2752-6179"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoko Yamakata","raw_affiliation_strings":["The University of Tokyo,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo,Tokyo,Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014584910"],"corresponding_institution_ids":["https://openalex.org/I22299242"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2371728,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"723","last_page":"728"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9973999857902527,"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":0.9973999857902527,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9955000281333923,"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":0.9947999715805054,"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/influencer-marketing","display_name":"Influencer marketing","score":0.865261971950531},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.7416310906410217},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6510327458381653},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4145636558532715},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.41059863567352295},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.3698487877845764},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33206820487976074},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.12685003876686096}],"concepts":[{"id":"https://openalex.org/C26011011","wikidata":"https://www.wikidata.org/wiki/Q6030243","display_name":"Influencer marketing","level":4,"score":0.865261971950531},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7416310906410217},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6510327458381653},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4145636558532715},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.41059863567352295},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.3698487877845764},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33206820487976074},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.12685003876686096},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C54649085","wikidata":"https://www.wikidata.org/wiki/Q574424","display_name":"Relationship marketing","level":3,"score":0.0},{"id":"https://openalex.org/C192975520","wikidata":"https://www.wikidata.org/wiki/Q1143466","display_name":"Marketing management","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825496","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825496","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"},{"id":"pmh:oai:irdb.nii.ac.jp:01221:0006996555","is_oa":true,"landing_page_url":"http://hdl.handle.net/2433/297618","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"journal article"}],"best_oa_location":{"id":"pmh:oai:irdb.nii.ac.jp:01221:0006996555","is_oa":true,"landing_page_url":"http://hdl.handle.net/2433/297618","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"journal article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1983012012","https://openalex.org/W1996263819","https://openalex.org/W2021661701","https://openalex.org/W2033134951","https://openalex.org/W2035563928","https://openalex.org/W2055233526","https://openalex.org/W2064298023","https://openalex.org/W2080290417","https://openalex.org/W2094755907","https://openalex.org/W2125099364","https://openalex.org/W2150193144","https://openalex.org/W2190235285","https://openalex.org/W2337150356","https://openalex.org/W2753778642","https://openalex.org/W2759660100","https://openalex.org/W2949377321","https://openalex.org/W3104987177","https://openalex.org/W3122471732"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4297998858","https://openalex.org/W3032906336","https://openalex.org/W4387516697","https://openalex.org/W2997316009","https://openalex.org/W4285206610","https://openalex.org/W2888161589","https://openalex.org/W4298012679","https://openalex.org/W4285058228","https://openalex.org/W3018020935"],"abstract_inverted_index":{"To":[0],"maintain":[1],"popularity":[2,36,44,169],"on":[3,37,133,157,187],"social":[4,40,143],"media":[5,41,144],"over":[6],"the":[7,38,46,52,59,62,66,69,74,91,98,103,107,110,114,155,168,188,191,196,213],"long":[8],"term,":[9],"users":[10,145],"need":[11],"to":[12,14,21,32,86,120,177],"shift":[13],"a":[15,26,29,87,129,163,170,178,218],"new":[16,27,56,88,122,130,138,180,198],"topic":[17,75,89,93,111,194],"instead":[18],"of":[19,55,65,102,152,166],"sticking":[20],"one":[22],"topic.":[23,181,199],"When":[24],"selecting":[25],"topic,":[28],"user":[30,70,83,99,108,172],"needs":[31],"consider":[33],"both":[34],"its":[35,43],"entire":[39],"and":[42,58,97,195],"among":[45],"current":[47,67,92,104,193],"followers.":[48,105,123],"The":[49,77,82],"former":[50],"affects":[51,61],"expected":[53,63],"number":[54],"followers,":[57,115],"latter":[60],"ratio":[64],"followers":[68],"can":[71],"retain":[72],"after":[73,112,175],"change.":[76],"timing":[78],"is":[79,117],"also":[80,161],"important.":[81],"should":[84],"change":[85,109],"before":[90],"becomes":[94],"less":[95],"popular":[96,142],"loses":[100],"many":[101],"If":[106],"losing":[113],"it":[116,185],"more":[118],"difficult":[119],"obtain":[121],"In":[124,200],"this":[125,158],"paper,":[126],"we":[127,160],"introduce":[128],"task":[131],"based":[132,186],"these":[134],"observations:":[135],"recommending":[136],"appropriate":[137,147],"topics":[139],"for":[140],"currently":[141],"at":[146],"timing.":[148],"As":[149],"an":[150],"example":[151],"opportunities":[153],"in":[154],"research":[156],"task,":[159],"propose":[162],"simple":[164],"method":[165,183,211],"predicting":[167],"given":[171,179,197],"would":[173],"gain":[174],"shifting":[176],"Our":[182],"predicts":[184],"similarity":[189],"between":[190],"user\u2019s":[192],"our":[201,210],"experiment":[202],"with":[203,217],"data":[204],"collected":[205],"from":[206],"X":[207],"(formerly":[208],"Twitter),":[209],"improves":[212],"prediction":[214],"accuracy":[215],"compared":[216],"baseline":[219],"method.":[220]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
