{"id":"https://openalex.org/W2768476680","doi":"https://doi.org/10.1109/tmc.2017.2777974","title":"Social Learning Based Inference for Crowdsensing in Mobile Social Networks","display_name":"Social Learning Based Inference for Crowdsensing in Mobile Social Networks","publication_year":2017,"publication_date":"2017-11-27","ids":{"openalex":"https://openalex.org/W2768476680","doi":"https://doi.org/10.1109/tmc.2017.2777974","mag":"2768476680"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2017.2777974","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2017.2777974","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","raw_type":"journal-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/A5046452695","display_name":"Yue Meng","orcid":"https://orcid.org/0000-0003-1691-087X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Meng","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, P.R. China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005072193","display_name":"Chunxiao Jiang","orcid":"https://orcid.org/0000-0002-3703-121X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunxiao Jiang","raw_affiliation_strings":["Tsinghua Space Center, Tsinghua University, Beijing, P.R. China"],"raw_orcid":"https://orcid.org/0000-0002-3703-121X","affiliations":[{"raw_affiliation_string":"Tsinghua Space Center, Tsinghua University, Beijing, P.R. China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030858163","display_name":"Tony Q. S. Quek","orcid":"https://orcid.org/0000-0002-4037-3149"},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tony Q. S. Quek","raw_affiliation_strings":["Singapore University of Technology and Design, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-4037-3149","affiliations":[{"raw_affiliation_string":"Singapore University of Technology and Design, Singapore","institution_ids":["https://openalex.org/I152815399"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063667378","display_name":"Zhu Han","orcid":"https://orcid.org/0000-0002-6606-5822"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Zhu Han","raw_affiliation_strings":["Department of Computer Science and Engineering, Kyung Hee University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Kyung Hee University, Seoul, South Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002346706","display_name":"Yong Ren","orcid":"https://orcid.org/0000-0003-0312-9371"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Ren","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, P.R. China"],"raw_orcid":"https://orcid.org/0000-0003-0312-9371","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, P.R. China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.8809,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.95217218,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"17","issue":"8","first_page":"1966","last_page":"1979"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998999834060669,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9824000000953674,"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":0.8626829385757446},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6428084969520569},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5210232734680176},{"id":"https://openalex.org/keywords/crowdsensing","display_name":"Crowdsensing","score":0.5174391865730286},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5074827075004578},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4593077600002289},{"id":"https://openalex.org/keywords/participatory-sensing","display_name":"Participatory sensing","score":0.44491544365882874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4196881353855133},{"id":"https://openalex.org/keywords/mobile-computing","display_name":"Mobile computing","score":0.41087377071380615},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.2954905331134796},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.2298593521118164},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.21368515491485596}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8626829385757446},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6428084969520569},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5210232734680176},{"id":"https://openalex.org/C2780821482","wikidata":"https://www.wikidata.org/wiki/Q25381721","display_name":"Crowdsensing","level":2,"score":0.5174391865730286},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5074827075004578},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4593077600002289},{"id":"https://openalex.org/C2779208394","wikidata":"https://www.wikidata.org/wiki/Q7140460","display_name":"Participatory sensing","level":2,"score":0.44491544365882874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4196881353855133},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.41087377071380615},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.2954905331134796},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2298593521118164},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.21368515491485596},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmc.2017.2777974","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2017.2777974","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3113351901","display_name":null,"funder_award_id":"CNS-1731424","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3341042785","display_name":null,"funder_award_id":"ECCS-1405121","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4794096668","display_name":null,"funder_award_id":"ECCS-1547201","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5072586218","display_name":null,"funder_award_id":"CNS-1646607","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5989728556","display_name":null,"funder_award_id":"CNS-1443917","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G721611289","display_name":null,"funder_award_id":"CNS-1702850","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8436110985","display_name":null,"funder_award_id":"CNS-1717454","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8605602373","display_name":null,"funder_award_id":"CMMI-1434789","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1500921805","https://openalex.org/W1515684223","https://openalex.org/W1544933314","https://openalex.org/W1558006055","https://openalex.org/W1569400750","https://openalex.org/W1965555277","https://openalex.org/W1976535029","https://openalex.org/W1977950701","https://openalex.org/W1985749074","https://openalex.org/W1994500462","https://openalex.org/W2003733356","https://openalex.org/W2024097794","https://openalex.org/W2031494345","https://openalex.org/W2057041225","https://openalex.org/W2061129182","https://openalex.org/W2062876061","https://openalex.org/W2099154455","https://openalex.org/W2121454265","https://openalex.org/W2123140882","https://openalex.org/W2127347346","https://openalex.org/W2144169341","https://openalex.org/W2148135143","https://openalex.org/W2162192698","https://openalex.org/W2163409259","https://openalex.org/W2164297046","https://openalex.org/W2169071224","https://openalex.org/W2169826194","https://openalex.org/W2210387432","https://openalex.org/W2290432568","https://openalex.org/W2344486464","https://openalex.org/W2468752298","https://openalex.org/W2516948806","https://openalex.org/W2535119350","https://openalex.org/W2597098435","https://openalex.org/W2616501053","https://openalex.org/W2763592600","https://openalex.org/W4229706427","https://openalex.org/W4232753567","https://openalex.org/W4285364453","https://openalex.org/W4295016751","https://openalex.org/W6633369530","https://openalex.org/W6650949226","https://openalex.org/W6737998726","https://openalex.org/W6840249287"],"related_works":["https://openalex.org/W2608033733","https://openalex.org/W4232477044","https://openalex.org/W2500295164","https://openalex.org/W2168877220","https://openalex.org/W1894261276","https://openalex.org/W4296196895","https://openalex.org/W2502154934","https://openalex.org/W4385847549","https://openalex.org/W2798910397","https://openalex.org/W4297790155"],"abstract_inverted_index":{"Mobile":[0],"communication":[1],"technology":[2],"provides":[3],"more":[4],"service":[5],"paradigms":[6],"to":[7,46,94,144],"social":[8,15,88],"networks,":[9],"allowing":[10],"the":[11,35,43,52,68,108,120,125,128,147,152,174,178,183],"development":[12],"of":[13,21,28,38,54,61,70,127],"mobile":[14],"networks":[16],"(MSNs).":[17],"An":[18],"important":[19],"scenario":[20],"MSNs":[22],"is":[23,60,124,142],"crowdsensing,":[24,51],"which":[25,90,123],"takes":[26],"advantage":[27],"simple":[29],"sensing":[30,44,56],"and":[31,41,104,117,155,159],"computation":[32],"abilities":[33],"on":[34,67,86],"portable":[36],"devices":[37],"ordinary":[39],"people,":[40],"fuses":[42],"results":[45],"accomplish":[47],"large-scale":[48],"tasks.":[49,71],"In":[50,72,107],"integration":[53],"individual":[55],"data":[57],"from":[58],"users":[59,111,153,162],"great":[62],"significance,":[63],"yet":[64],"highly":[65],"depends":[66],"goal":[69,126],"this":[73],"paper,":[74],"we":[75],"propose":[76],"a":[77],"high-level":[78],"distributed":[79],"cooperative":[80],"environmental":[81],"state":[82],"inference":[83],"scheme":[84],"based":[85],"non-Bayesian":[87],"learning,":[89],"can":[91],"be":[92,133],"applied":[93],"various":[95],"crowdsensing":[96,129],"tasks,":[97],"e.g.,":[98],"traffic":[99],"monitoring,":[100,103],"air":[101],"quality":[102],"weather":[105],"forecasting.":[106],"proposed":[109],"scheme,":[110],"exchange":[112],"information":[113],"with":[114],"their":[115,168],"neighbors":[116],"cooperatively":[118],"infer":[119],"hidden":[121,148],"state,":[122,149],"task":[130],"but":[131],"cannot":[132,163],"measured":[134],"directly.":[135],"We":[136,171],"prove":[137],"theoretically":[138],"that":[139],"every":[140],"user":[141],"able":[143],"asymptotically":[145],"learn":[146],"even":[150],"when":[151,160],"locations":[154],"relationships":[156],"keep":[157],"changing,":[158],"some":[161],"observe":[164],"signals":[165],"or":[166],"provide":[167],"own":[169],"inferences.":[170],"also":[172],"optimize":[173],"weight":[175],"matrix":[176],"in":[177],"fusion":[179],"step":[180],"by":[181],"maximizing":[182],"learning":[184],"speed.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}