{"id":"https://openalex.org/W2099707048","doi":"https://doi.org/10.1145/1099203.1099214","title":"Searching for expertise in social networks","display_name":"Searching for expertise in social networks","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2099707048","doi":"https://doi.org/10.1145/1099203.1099214","mag":"2099707048"},"language":"en","primary_location":{"id":"doi:10.1145/1099203.1099214","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1099203.1099214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2005 international ACM SIGGROUP conference on Supporting group work  - GROUP '05","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/A5100433169","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0002-5532-872X"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI","University of Michigan,Ann Arbor,MI"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"University of Michigan,Ann Arbor,MI","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050184396","display_name":"Mark S. Ackerman","orcid":"https://orcid.org/0000-0001-9727-1664"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mark S. Ackerman","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI","University of Michigan,Ann Arbor,MI"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"University of Michigan,Ann Arbor,MI","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100433169"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":17.8794,"has_fulltext":false,"cited_by_count":88,"citation_normalized_percentile":{"value":0.98880429,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"71","last_page":"71"},"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":0.9997000098228455,"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":0.9997000098228455,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9904000163078308,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.77983558177948},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6297410130500793},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.5580624341964722},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5520650148391724},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4731498956680298},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.34802839159965515},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24056476354599},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.1949591040611267}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.77983558177948},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6297410130500793},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.5580624341964722},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5520650148391724},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4731498956680298},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.34802839159965515},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24056476354599},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.1949591040611267},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1099203.1099214","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1099203.1099214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2005 international ACM SIGGROUP conference on Supporting group work  - GROUP '05","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5099999904632568,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W26767019","https://openalex.org/W93765870","https://openalex.org/W95422035","https://openalex.org/W1514499253","https://openalex.org/W1527463082","https://openalex.org/W1572272766","https://openalex.org/W1573579329","https://openalex.org/W1660390307","https://openalex.org/W1966992441","https://openalex.org/W1990905386","https://openalex.org/W2038849211","https://openalex.org/W2053634345","https://openalex.org/W2061901927","https://openalex.org/W2065231053","https://openalex.org/W2070497706","https://openalex.org/W2075866536","https://openalex.org/W2083973186","https://openalex.org/W2085529605","https://openalex.org/W2096335302","https://openalex.org/W2109469951","https://openalex.org/W2118361035","https://openalex.org/W2122410182","https://openalex.org/W2134177285","https://openalex.org/W2147952642","https://openalex.org/W2149896351","https://openalex.org/W2151611250","https://openalex.org/W2154897810","https://openalex.org/W2325928906","https://openalex.org/W2342204193","https://openalex.org/W2795857897","https://openalex.org/W3148205360"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2323581027","https://openalex.org/W2355215981","https://openalex.org/W2391817034","https://openalex.org/W2039324493","https://openalex.org/W2758561209","https://openalex.org/W2965601583","https://openalex.org/W2109648222","https://openalex.org/W2267786529","https://openalex.org/W4247844984"],"abstract_inverted_index":{"People":[0],"search":[1],"for":[2,93],"people":[3],"with":[4],"suitable":[5],"expertise":[6,64],"all":[7],"of":[8,40,54,121],"the":[9,37,74,106,115,119],"time":[10],"in":[11,63,86,118],"their":[12],"social":[13,38,107,122],"networks":[14],"-":[15],"to":[16,27,83,113],"answer":[17],"questions":[18],"or":[19],"provide":[20],"help.":[21],"Recently,":[22],"efforts":[23],"have":[24],"been":[25],"made":[26],"augment":[28],"this":[29,48],"searching.":[30],"However,":[31],"relatively":[32],"little":[33],"is":[34,98,112],"known":[35],"about":[36],"characteristics":[39,108],"various":[41],"algorithms":[42],"that":[43,57],"might":[44],"be":[45,61,81],"useful.":[46],"In":[47],"paper,":[49],"we":[50,58],"examine":[51],"three":[52],"families":[53],"searching":[55,125],"strategies":[56],"believe":[59],"may":[60],"useful":[62],"location.":[65],"We":[66],"do":[67],"so":[68],"through":[69],"a":[70,87,94],"simulation,":[71],"based":[72,124],"on":[73,100,105],"Enron":[75],"email":[76],"data":[77],"set.":[78],"(We":[79],"would":[80],"unable":[82],"suitably":[84],"experiment":[85],"real":[88],"organization,":[89],"thus":[90],"our":[91],"need":[92],"simulation.)":[95],"Our":[96],"emphasis":[97],"not":[99],"graph":[101],"theoretical":[102],"concerns,":[103],"but":[104],"involved.":[109],"The":[110],"goal":[111],"understand":[114],"tradeoffs":[116],"involved":[117],"design":[120],"network":[123],"engines.":[126]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":11}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}