{"id":"https://openalex.org/W2024369724","doi":"https://doi.org/10.1145/2348283.2348475","title":"Finding interesting posts in Twitter based on retweet graph analysis","display_name":"Finding interesting posts in Twitter based on retweet graph analysis","publication_year":2012,"publication_date":"2012-08-12","ids":{"openalex":"https://openalex.org/W2024369724","doi":"https://doi.org/10.1145/2348283.2348475","mag":"2024369724"},"language":"en","primary_location":{"id":"doi:10.1145/2348283.2348475","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2348283.2348475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval","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/A5075417206","display_name":"Min-Chul Yang","orcid":"https://orcid.org/0009-0002-4641-3495"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Min-Chul Yang","raw_affiliation_strings":["Korea University, Seoul, South Korea","Korea university - Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Korea university - Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040651191","display_name":"Jung\u2010Tae Lee","orcid":"https://orcid.org/0000-0001-5383-3004"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jung-Tae Lee","raw_affiliation_strings":["Korea University, Seoul, South Korea","Korea university - Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Korea university - Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101824074","display_name":"Seung-Wook Lee","orcid":"https://orcid.org/0000-0003-1147-1214"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seung-Wook Lee","raw_affiliation_strings":["Korea University, Seoul, South Korea","Korea university - Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Korea university - Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111783356","display_name":"Hae\u2010Chang Rim","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hae-Chang Rim","raw_affiliation_strings":["Korea University, Seoul, South Korea","Korea university - Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Korea university - Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5075417206"],"corresponding_institution_ids":["https://openalex.org/I197347611"],"apc_list":null,"apc_paid":null,"fwci":3.6369,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.93365797,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1073","last_page":"1074"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.996399998664856,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9945999979972839,"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":0.7872968912124634},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6242494583129883},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5859734416007996},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5552718043327332},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5448896288871765},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.5096549987792969},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.44306546449661255},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.40774282813072205},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.25992780923843384}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7872968912124634},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6242494583129883},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5859734416007996},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5552718043327332},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5448896288871765},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.5096549987792969},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.44306546449661255},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.40774282813072205},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.25992780923843384},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2348283.2348475","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2348283.2348475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321640","display_name":"Ministry of Knowledge Economy","ror":"https://ror.org/008nkqk13"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2084591134","https://openalex.org/W2127267264","https://openalex.org/W2138621811","https://openalex.org/W2189166599"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W2043093291","https://openalex.org/W2064423464"],"abstract_inverted_index":{"Millions":[0],"of":[1,21,29,44,52,64,70,88,97],"posts":[2,23,26,48,73],"are":[3,24,28],"being":[4],"generated":[5],"in":[6,10],"real-time":[7],"by":[8],"users":[9,71],"social":[11],"networking":[12],"services,":[13],"such":[14],"as":[15,66,74,82],"Twitter.":[16],"However,":[17],"a":[18,56,67,86,94],"considerable":[19],"number":[20],"those":[22],"mundane":[25],"that":[27,49,106],"interest":[30,54],"to":[31,55],"the":[32,42,62,80,89],"authors":[33],"and":[34,72,76],"possibly":[35],"their":[36],"friends":[37],"only.":[38],"This":[39],"paper":[40],"investigates":[41],"problem":[43],"automatically":[45],"discovering":[46],"valuable":[47],"may":[50],"be":[51],"potential":[53],"wider":[57],"audience.":[58],"Specifically,":[59],"we":[60],"model":[61],"structure":[63],"Twitter":[65],"graph":[68],"consisting":[69],"nodes":[75,81],"retweet":[77],"relations":[78],"between":[79],"edges.":[83],"We":[84],"propose":[85],"variant":[87],"HITS":[90],"algorithm":[91],"for":[92],"producing":[93],"static":[95],"ranking":[96],"posts.":[98],"Experimental":[99],"results":[100],"on":[101],"real":[102],"world":[103],"data":[104],"demonstrate":[105],"our":[107],"method":[108],"can":[109],"achieve":[110],"better":[111],"performance":[112],"than":[113],"several":[114],"baseline":[115],"methods.":[116]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
