{"id":"https://openalex.org/W1565898936","doi":null,"title":"Active Surveying: A Probabilistic Approach for Identifying Key Opinion Leaders","display_name":"Active Surveying: A Probabilistic Approach for Identifying Key Opinion Leaders","publication_year":2012,"publication_date":"2012-05-30","ids":{"openalex":"https://openalex.org/W1565898936","mag":"1565898936"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.230.6548","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.230.6548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://linqs.cs.umd.edu/basilic/web/Publications/2011/sharara%3Aijcai11/sharara_paper736.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5045449467","display_name":"Hossam Sharara","orcid":"https://orcid.org/0000-0003-0042-9790","observed_orcids":["https://orcid.org/0000-0003-0042-9790"]},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hossam Sharara","raw_affiliation_strings":["Computer Science Dept, University of Maryland, College Park, MD#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Dept, University of Maryland, College Park, MD#TAB#","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086169451","display_name":"Lise C. Getoor","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lise Getoor","raw_affiliation_strings":["Computer Science Dept, University of Maryland, College Park, MD#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Dept, University of Maryland, College Park, MD#TAB#","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014394758","display_name":"Myra Norton","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Myra Norton","raw_affiliation_strings":["Community Analytics, Baltimore, MD#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Community Analytics, Baltimore, MD#TAB#","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8118,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.83447911,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.3086000084877014,"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":0.3086000084877014,"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/T11539","display_name":"Survey Methodology and Nonresponse","score":0.17270000278949738,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.10970000177621841,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/opinion-leaders","display_name":"opinion leaders","score":0.7080000042915344},{"id":"https://openalex.org/keywords/probabilistic-inference","display_name":"probabilistic inference","score":0.7129999995231628},{"id":"https://openalex.org/keywords/primary-and-secondary-data","display_name":"primary and secondary data","score":0.5649999976158142},{"id":"https://openalex.org/keywords/survey-cost-reduction","display_name":"survey cost reduction","score":0.6510000228881836},{"id":"https://openalex.org/keywords/information-gathering","display_name":"information gathering","score":0.7070000171661377}],"concepts":[{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.708309531211853},{"id":"https://openalex.org/C139268390","wikidata":"https://www.wikidata.org/wiki/Q1850904","display_name":"Opinion leadership","level":2,"score":0.7024039030075073},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.669022798538208},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5955830216407776},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5460538864135742},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.527934730052948},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5091201663017273},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4826110303401947},{"id":"https://openalex.org/C3020580240","wikidata":"https://www.wikidata.org/wiki/Q663272","display_name":"Expert opinion","level":2,"score":0.42313092947006226},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35061612725257874},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32720375061035156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20102399587631226},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18446031212806702},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.16917535662651062},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.10830935835838318},{"id":"https://openalex.org/C39549134","wikidata":"https://www.wikidata.org/wiki/Q133080","display_name":"Public relations","level":1,"score":0.09275099635124207},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08436086773872375},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07944649457931519},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.230.6548","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.230.6548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://linqs.cs.umd.edu/basilic/web/Publications/2011/sharara%3Aijcai11/sharara_paper736.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W199476350","https://openalex.org/W1656816330","https://openalex.org/W1942925359","https://openalex.org/W2052012471","https://openalex.org/W2061820396","https://openalex.org/W2061901927","https://openalex.org/W2085989833","https://openalex.org/W2105501846","https://openalex.org/W2114663556","https://openalex.org/W2138079527","https://openalex.org/W2150375325","https://openalex.org/W2152365973","https://openalex.org/W2161391345","https://openalex.org/W2280026128","https://openalex.org/W2319625410","https://openalex.org/W2798502219","https://openalex.org/W2903158431","https://openalex.org/W3133706222"],"related_works":["https://openalex.org/W7100651336","https://openalex.org/W7095666646","https://openalex.org/W628521465","https://openalex.org/W2060561236","https://openalex.org/W4200495249","https://openalex.org/W2275624082","https://openalex.org/W2886322674","https://openalex.org/W3174647638","https://openalex.org/W1514593681","https://openalex.org/W3199647243"],"abstract_inverted_index":{"Opinion":[0],"leaders":[1,82,98],"play":[2],"an":[3],"important":[4],"role":[5],"in":[6,40,83,109,113],"influencing":[7],"people\u2019s":[8],"beliefs,":[9],"actions":[10],"and":[11,87],"behaviors.":[12],"Although":[13],"a":[14,48],"number":[15],"of":[16,27,31,78,103],"methods":[17],"have":[18],"been":[19],"proposed":[20,71],"for":[21],"identifying":[22,79],"influentials":[23],"using":[24],"secondary":[25,54],"sources":[26,61],"information,":[28],"the":[29,64,76,84,96,101],"use":[30],"primary":[32,60,104],"sources,":[33],"such":[34],"as":[35],"surveys,":[36],"is":[37],"still":[38],"favored":[39],"many":[41],"domains.":[42],"In":[43],"this":[44],"work":[45],"we":[46,90],"present":[47],"new":[49],"surveying":[50,73],"method":[51,74],"which":[52,107],"combines":[53],"data":[55,105,114],"with":[56],"partial":[57],"knowledge":[58],"from":[59],"to":[62,75,93],"guide":[63],"information":[65],"gathering":[66],"process.":[67],"We":[68],"apply":[69],"our":[70],"active":[72],"problem":[77],"key":[80],"opinion":[81,97],"medical":[85],"field,":[86],"show":[88],"how":[89],"are":[91],"able":[92],"accurately":[94],"identify":[95],"while":[99],"minimizing":[100],"amount":[102],"required,":[106],"results":[108],"significant":[110],"cost":[111],"reduction":[112],"acquisition":[115],"without":[116],"sacrificing":[117],"its":[118],"integrity.":[119],"1":[120]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2016-06-24T00:00:00"}