{"id":"https://openalex.org/W2520317826","doi":"https://doi.org/10.1109/wcnc.2016.7565026","title":"MagiCrowd: A crowd based incentive for location-aware crowd sensing","display_name":"MagiCrowd: A crowd based incentive for location-aware crowd sensing","publication_year":2016,"publication_date":"2016-04-01","ids":{"openalex":"https://openalex.org/W2520317826","doi":"https://doi.org/10.1109/wcnc.2016.7565026","mag":"2520317826"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc.2016.7565026","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2016.7565026","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Wireless Communications and Networking Conference","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/A5101617102","display_name":"Yao Wu","orcid":"https://orcid.org/0000-0002-3920-1518"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Wu","raw_affiliation_strings":["Key Laboratory of Data Engineering and Knowledge Engineering of Ministry of Education, Beijing, China","School of Information, Renmin University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Data Engineering and Knowledge Engineering of Ministry of Education, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"School of Information, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101635565","display_name":"Yuncheng Wu","orcid":"https://orcid.org/0000-0002-1436-3916"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuncheng Wu","raw_affiliation_strings":["Key Laboratory of Data Engineering and Knowledge Engineering of Ministry of Education, Beijing, China","School of Information, Renmin University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Data Engineering and Knowledge Engineering of Ministry of Education, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"School of Information, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103574864","display_name":"Hui Peng","orcid":"https://orcid.org/0000-0002-7226-2099"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Peng","raw_affiliation_strings":["Key Laboratory of Data Engineering and Knowledge Engineering of Ministry of Education, Beijing, China","School of Information, Renmin University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Data Engineering and Knowledge Engineering of Ministry of Education, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"School of Information, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100420391","display_name":"Hong Chen","orcid":"https://orcid.org/0000-0001-8132-9382"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Chen","raw_affiliation_strings":["Key Laboratory of Data Engineering and Knowledge Engineering of Ministry of Education, Beijing, China","School of Information, Renmin University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Data Engineering and Knowledge Engineering of Ministry of Education, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"School of Information, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100619237","display_name":"Cuiping Li","orcid":"https://orcid.org/0000-0003-0089-1045"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cuiping Li","raw_affiliation_strings":["Key Laboratory of Data Engineering and Knowledge Engineering of Ministry of Education, Beijing, China","School of Information, Renmin University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Data Engineering and Knowledge Engineering of Ministry of Education, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"School of Information, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":1.5476,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.8363051,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":1.0,"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":1.0,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","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"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9959999918937683,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.8553178310394287},{"id":"https://openalex.org/keywords/crowds","display_name":"Crowds","score":0.7755165100097656},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7082445025444031},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.6728947162628174},{"id":"https://openalex.org/keywords/anonymity","display_name":"Anonymity","score":0.5773203372955322},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.570576012134552},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.461064875125885},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4530869722366333},{"id":"https://openalex.org/keywords/sensibility","display_name":"Sensibility","score":0.43589872121810913},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11334115266799927},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.09766998887062073},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.08183923363685608}],"concepts":[{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.8553178310394287},{"id":"https://openalex.org/C2777852691","wikidata":"https://www.wikidata.org/wiki/Q13430821","display_name":"Crowds","level":2,"score":0.7755165100097656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7082445025444031},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.6728947162628174},{"id":"https://openalex.org/C178005623","wikidata":"https://www.wikidata.org/wiki/Q308859","display_name":"Anonymity","level":2,"score":0.5773203372955322},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.570576012134552},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.461064875125885},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4530869722366333},{"id":"https://openalex.org/C2777336010","wikidata":"https://www.wikidata.org/wiki/Q1195509","display_name":"Sensibility","level":2,"score":0.43589872121810913},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11334115266799927},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.09766998887062073},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.08183923363685608},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcnc.2016.7565026","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2016.7565026","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Wireless Communications and Networking Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1553085258","https://openalex.org/W1991138121","https://openalex.org/W1997079297","https://openalex.org/W2017990047","https://openalex.org/W2029396991","https://openalex.org/W2031535482","https://openalex.org/W2055633552","https://openalex.org/W2065446059","https://openalex.org/W2066840620","https://openalex.org/W2088940490","https://openalex.org/W2105385568","https://openalex.org/W2114925746","https://openalex.org/W2116347193","https://openalex.org/W2144193487","https://openalex.org/W2165998839"],"related_works":["https://openalex.org/W2361325130","https://openalex.org/W4213335015","https://openalex.org/W2376905723","https://openalex.org/W1881843516","https://openalex.org/W2945813080","https://openalex.org/W314871458","https://openalex.org/W2379219863","https://openalex.org/W2358274984","https://openalex.org/W2391461167","https://openalex.org/W2925418343"],"abstract_inverted_index":{"Mobile":[0],"devices":[1],"have":[2],"become":[3],"more":[4,6],"and":[5,77,92,111,121],"powerful":[7],"with":[8,45,65],"lots":[9],"of":[10,15,47],"embedded":[11],"sensors":[12],"providing":[13],"sensibility":[14],"various":[16],"data,":[17],"which":[18],"makes":[19],"crowd":[20,35,67,101],"sensing":[21,43,68],"a":[22,34],"compelling":[23],"paradigm":[24],"followed":[25],"by":[26],"emerging":[27],"applications.":[28],"In":[29,50],"this":[30],"paper,":[31],"we":[32,54],"design":[33],"based":[36],"incentive":[37,90,118],"mechanism":[38],"to":[39,63,73,87,97,125],"stimulate":[40],"participants":[41,58,76],"joining":[42],"campaigns":[44],"consideration":[46],"location":[48,80,112],"privacy.":[49,81,113],"our":[51],"incentive,":[52],"MagiCrowd,":[53],"creatively":[55],"cluster":[56,74],"the":[57,66,75,89,99,116,127],"as":[59],"several":[60],"atomic":[61],"crowds":[62],"bargain":[64],"campaigner.":[69],"We":[70,114],"propose":[71],"K-least":[72],"achieve":[78,105],"K-anonymity":[79],"Negotiated":[82],"Bargain":[83],"Theory":[84],"is":[85,95],"introduced":[86],"determine":[88],"payoffs":[91],"Penalty":[93],"Allocation":[94],"designed":[96],"allocate":[98],"gross":[100],"rewards.":[102],"MagiCrowd":[103],"can":[104],"high":[106],"participation":[107],"rate,":[108],"rational":[109],"reward":[110],"discuss":[115],"proposed":[117],"in":[119],"depth":[120],"conduct":[122],"thorough":[123],"experiments":[124],"evaluate":[126],"desirable":[128],"properties.":[129]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":5}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
