{"id":"https://openalex.org/W2058210123","doi":"https://doi.org/10.1109/dcoss.2013.29","title":"A Trust-Based Recruitment Framework for Multi-hop Social Participatory Sensing","display_name":"A Trust-Based Recruitment Framework for Multi-hop Social Participatory Sensing","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2058210123","doi":"https://doi.org/10.1109/dcoss.2013.29","mag":"2058210123"},"language":"en","primary_location":{"id":"doi:10.1109/dcoss.2013.29","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcoss.2013.29","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Distributed Computing in Sensor Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1306.0193","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024201764","display_name":"Haleh Amintoosi","orcid":"https://orcid.org/0000-0002-1447-8086"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Haleh Amintoosi","raw_affiliation_strings":["School of Computer Science and Engineering, University of New south Wales, Sydney, Australia","[School of Computer Science and Engineering University of New South Wales, Sydney, NSW, Australia]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of New south Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"[School of Computer Science and Engineering University of New South Wales, Sydney, NSW, Australia]","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059077090","display_name":"Salil S. Kanhere","orcid":"https://orcid.org/0000-0002-1835-3475"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Salil S. Kanhere","raw_affiliation_strings":["School of Computer Science and Engineering, University of New south Wales, Sydney, Australia","[School of Computer Science and Engineering University of New South Wales, Sydney, NSW, Australia]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of New south Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"[School of Computer Science and Engineering University of New South Wales, Sydney, NSW, Australia]","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":4.3389,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.94945055,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"15","issue":null,"first_page":"266","last_page":"273"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998000264167786,"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":0.9998000264167786,"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/friendship","display_name":"Friendship","score":0.9181904792785645},{"id":"https://openalex.org/keywords/participatory-sensing","display_name":"Participatory sensing","score":0.6463608145713806},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6154196858406067},{"id":"https://openalex.org/keywords/citizen-journalism","display_name":"Citizen journalism","score":0.6080889105796814},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.5894588232040405},{"id":"https://openalex.org/keywords/hop","display_name":"Hop (telecommunications)","score":0.5760515332221985},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4175138473510742},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.31700509786605835},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.31482622027397156},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.2760811448097229},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.24026188254356384},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.1999680995941162},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.164870023727417}],"concepts":[{"id":"https://openalex.org/C2778736484","wikidata":"https://www.wikidata.org/wiki/Q491","display_name":"Friendship","level":2,"score":0.9181904792785645},{"id":"https://openalex.org/C2779208394","wikidata":"https://www.wikidata.org/wiki/Q7140460","display_name":"Participatory sensing","level":2,"score":0.6463608145713806},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6154196858406067},{"id":"https://openalex.org/C203663800","wikidata":"https://www.wikidata.org/wiki/Q848979","display_name":"Citizen journalism","level":2,"score":0.6080889105796814},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.5894588232040405},{"id":"https://openalex.org/C25906391","wikidata":"https://www.wikidata.org/wiki/Q1432381","display_name":"Hop (telecommunications)","level":2,"score":0.5760515332221985},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4175138473510742},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.31700509786605835},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.31482622027397156},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.2760811448097229},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.24026188254356384},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.1999680995941162},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.164870023727417},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/dcoss.2013.29","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcoss.2013.29","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Distributed Computing in Sensor Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1306.0193","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1306.0193","pdf_url":"https://arxiv.org/pdf/1306.0193","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.709.2621","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.709.2621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cse.unsw.edu.au/%7Esalilk/papers/conferences/DCOSS2013.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.767.4457","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.767.4457","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/1306.0193.pdf","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1306.0193","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1306.0193","pdf_url":"https://arxiv.org/pdf/1306.0193","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W139119103","https://openalex.org/W1459857666","https://openalex.org/W1553085258","https://openalex.org/W1588795902","https://openalex.org/W1604936042","https://openalex.org/W1760928557","https://openalex.org/W1923357748","https://openalex.org/W1984037205","https://openalex.org/W2020698279","https://openalex.org/W2034419870","https://openalex.org/W2042014342","https://openalex.org/W2050529748","https://openalex.org/W2067767653","https://openalex.org/W2072268076","https://openalex.org/W2103112159","https://openalex.org/W2127347346","https://openalex.org/W2131848448","https://openalex.org/W2170918595","https://openalex.org/W2337430557","https://openalex.org/W6628608353","https://openalex.org/W6638095165","https://openalex.org/W6640261499","https://openalex.org/W6675556284","https://openalex.org/W6679599256","https://openalex.org/W7051926465"],"related_works":["https://openalex.org/W561612769","https://openalex.org/W3045500699","https://openalex.org/W3151629863","https://openalex.org/W1964514847","https://openalex.org/W4210492960","https://openalex.org/W2352101273","https://openalex.org/W2807814471","https://openalex.org/W3130113503","https://openalex.org/W4399199594","https://openalex.org/W3014860623"],"abstract_inverted_index":{"The":[0,84],"idea":[1],"of":[2,19,31,74,95,119,126,131],"social":[3,53],"participatory":[4,54],"sensing":[5,26],"provides":[6,92],"a":[7,16,25,49,88,93,128],"substrate":[8],"to":[9,22,62,82,102],"benefit":[10],"from":[11],"friendship":[12,60,112],"relations":[13,61],"in":[14,24,124,141],"recruiting":[15],"critical":[17],"mass":[18],"participants":[20,33,69,133],"willing":[21],"attend":[23],"campaign.":[27],"However,":[28],"the":[29,78,100,117],"selection":[30],"suitable":[32,66],"who":[34],"are":[35],"trustable":[36,80],"and":[37,64,67,76,134],"provide":[38],"high":[39,138],"quality":[40],"contributions":[41,136],"is":[42],"challenging.":[43],"In":[44],"this":[45],"paper,":[46],"we":[47],"propose":[48],"recruitment":[50,110,122,145],"framework":[51,57,85,123],"for":[52,109],"sensing.":[55],"Our":[56],"leverages":[58],"multi-hop":[59],"identify":[63],"select":[65],"trustworthy":[68],"among":[70],"friends":[71,73,97],"or":[72,111],"friends,":[75],"finds":[77],"most":[79],"paths":[81],"them.":[83],"also":[86],"includes":[87],"suggestion":[89],"component":[90],"which":[91,104],"cluster":[94],"suggested":[96],"along":[98],"with":[99,137,143],"path":[101],"them,":[103],"can":[105],"be":[106],"further":[107],"used":[108],"establishment.":[113],"Simulation":[114],"results":[115],"demonstrate":[116],"efficacy":[118],"our":[120],"proposed":[121],"terms":[125],"selecting":[127],"large":[129],"number":[130],"well-suited":[132],"providing":[135],"overall":[139],"trust,":[140],"comparison":[142],"one-hop":[144],"architecture.":[146]},"counts_by_year":[{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":5}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}