{"id":"https://openalex.org/W1975583660","doi":"https://doi.org/10.1145/1935826.1935843","title":"Identifying topical authorities in microblogs","display_name":"Identifying topical authorities in microblogs","publication_year":2011,"publication_date":"2011-02-01","ids":{"openalex":"https://openalex.org/W1975583660","doi":"https://doi.org/10.1145/1935826.1935843","mag":"1975583660"},"language":"en","primary_location":{"id":"doi:10.1145/1935826.1935843","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1935826.1935843","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the fourth ACM international conference on Web search and data mining","raw_type":"proceedings-article"},"type":"conference-paper","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/A5000613715","display_name":"Aditya Pal","orcid":"https://orcid.org/0000-0001-8079-0935"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aditya Pal","raw_affiliation_strings":["University of Minnesota, Minneapolis, MN, USA",", University of Minnesota, Minneapolis, MN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":", University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072149108","display_name":"Scott Counts","orcid":"https://orcid.org/0000-0003-2851-9763"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Scott Counts","raw_affiliation_strings":["Microsoft Research, Seattle, WA, USA","Microsoft Research, Seattle, WA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Seattle, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft Research, Seattle, WA, USA#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":352,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"45","last_page":"54"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":1.0,"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":0.9991000294685364,"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/T10028","display_name":"Topic Modeling","score":0.9987000226974487,"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/microblogging","display_name":"Microblogging","score":0.9345136880874634},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.8595962524414062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8006338477134705},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.742758572101593},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.696657121181488},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.6204565763473511},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.579425036907196},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5751667618751526},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.5218590497970581},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4971905052661896},{"id":"https://openalex.org/keywords/diversity","display_name":"Diversity (politics)","score":0.4776419699192047},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47337549924850464},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.4444451332092285},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4252481162548065},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4090435206890106},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.38926899433135986},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3655301034450531},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2806171476840973},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27965787053108215}],"concepts":[{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.9345136880874634},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.8595962524414062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8006338477134705},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.742758572101593},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.696657121181488},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.6204565763473511},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.579425036907196},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5751667618751526},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.5218590497970581},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4971905052661896},{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.4776419699192047},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47337549924850464},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.4444451332092285},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4252481162548065},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4090435206890106},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.38926899433135986},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3655301034450531},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2806171476840973},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27965787053108215},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1935826.1935843","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1935826.1935843","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the fourth ACM international conference on Web search and data mining","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.188.7023","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.188.7023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.microsoft.com/en-us/um/people/counts/pubs/TopicalAuthoritiesWSDM11.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.295.7588","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.295.7588","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-users.cs.umn.edu/~apal/res/wsdm11_topicalauthorities.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1502955768","https://openalex.org/W1646006088","https://openalex.org/W1854214752","https://openalex.org/W1880262756","https://openalex.org/W1981202432","https://openalex.org/W1986044318","https://openalex.org/W2025895610","https://openalex.org/W2032390374","https://openalex.org/W2037858832","https://openalex.org/W2053485498","https://openalex.org/W2061820396","https://openalex.org/W2075331925","https://openalex.org/W2076219102","https://openalex.org/W2099521584","https://openalex.org/W2132613313","https://openalex.org/W2144211451","https://openalex.org/W2147152072","https://openalex.org/W2173213060","https://openalex.org/W2295363412","https://openalex.org/W2472315014","https://openalex.org/W2895467231","https://openalex.org/W3090556797","https://openalex.org/W4383956329","https://openalex.org/W6697167198","https://openalex.org/W6720620291"],"related_works":["https://openalex.org/W2064423464","https://openalex.org/W3127142483","https://openalex.org/W2148815800","https://openalex.org/W2122605835","https://openalex.org/W4385565564","https://openalex.org/W2898073868","https://openalex.org/W4390446658","https://openalex.org/W2138488530","https://openalex.org/W2971071571","https://openalex.org/W2798835721"],"abstract_inverted_index":{"Content":[0],"in":[1,128],"microblogging":[2],"systems":[3],"such":[4],"as":[5],"Twitter":[6],"is":[7,19,125],"produced":[8],"by":[9,72],"tens":[10],"to":[11],"hundreds":[12],"of":[13,15,28,48,82,143],"millions":[14],"users.":[16],"This":[17],"diversity":[18],"a":[20,46,73,79,86,99],"notable":[21],"strength,":[22],"but":[23],"also":[24],"presents":[25],"the":[26,30,139],"challenge":[27],"finding":[29],"most":[31],"interesting":[32,112],"and":[33,58,113],"authoritative":[34,114],"authors":[35,84,107],"for":[36,50,85,137],"any":[37],"given":[38,87],"topic.":[39,88],"To":[40],"address":[41],"this,":[42],"we":[43],"first":[44],"propose":[45],"set":[47],"features":[49],"characterizing":[51],"social":[52],"media":[53],"authors,":[54],"including":[55],"both":[56],"nodal":[57],"topical":[59],"metrics.":[60],"We":[61,89],"then":[62],"show":[63],"how":[64],"probabilistic":[65],"clustering":[66],"over":[67],"this":[68],"feature":[69],"space,":[70],"followed":[71],"within-cluster":[74],"ranking":[75],"procedure,":[76],"can":[77],"yield":[78],"final":[80],"list":[81],"top":[83],"present":[90],"results":[91,97],"across":[92],"several":[93,119],"topics,":[94],"along":[95],"with":[96],"from":[98,118],"user":[100],"study":[101],"confirming":[102],"that":[103],"our":[104,123],"method":[105],"finds":[106],"who":[108],"are":[109],"significantly":[110],"more":[111],"than":[115],"those":[116],"resulting":[117],"baseline":[120],"conditions.":[121],"Additionally":[122],"algorithm":[124],"computationally":[126],"feasible":[127],"near":[129],"real-time":[130],"scenarios":[131],"making":[132],"it":[133],"an":[134],"attractive":[135],"alternative":[136],"capturing":[138],"rapidly":[140],"changing":[141],"dynamics":[142],"microblogs.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":19},{"year":2019,"cited_by_count":25},{"year":2018,"cited_by_count":38},{"year":2017,"cited_by_count":30},{"year":2016,"cited_by_count":51},{"year":2015,"cited_by_count":46},{"year":2014,"cited_by_count":31},{"year":2013,"cited_by_count":33},{"year":2012,"cited_by_count":32}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}