{"id":"https://openalex.org/W2492435958","doi":"https://doi.org/10.1109/infocom.2016.7524471","title":"Using crowdsourced data in location-based social networks to explore influence maximization","display_name":"Using crowdsourced data in location-based social networks to explore influence maximization","publication_year":2016,"publication_date":"2016-04-01","ids":{"openalex":"https://openalex.org/W2492435958","doi":"https://doi.org/10.1109/infocom.2016.7524471","mag":"2492435958"},"language":"en","primary_location":{"id":"doi:10.1109/infocom.2016.7524471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2016.7524471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications","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/A5072627238","display_name":"Zhipeng Cai","orcid":"https://orcid.org/0000-0001-6017-975X"},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ji Li Zhipeng Cai","raw_affiliation_strings":["Department of Computer Science, Georgia State University, Atlanta, Georgia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Georgia State University, Atlanta, Georgia","institution_ids":["https://openalex.org/I181565077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077766154","display_name":"Mingyuan Yan","orcid":"https://orcid.org/0000-0002-5211-7329"},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mingyuan Yan","raw_affiliation_strings":["Department of Computer Science, Georgia State University, Atlanta, Georgia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Georgia State University, Atlanta, Georgia","institution_ids":["https://openalex.org/I181565077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046635673","display_name":"Yingshu Li","orcid":"https://orcid.org/0000-0002-1906-7112"},"institutions":[{"id":"https://openalex.org/I924760719","display_name":"University of North Georgia","ror":"https://ror.org/001pe5g24","country_code":"US","type":"education","lineage":["https://openalex.org/I924760719"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yingshu Li","raw_affiliation_strings":["Department of Computer Science and Information Systems, University of North Georgia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Systems, University of North Georgia","institution_ids":["https://openalex.org/I924760719"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":174,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9980999827384949,"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":0.9980999827384949,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9970999956130981,"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9926000237464905,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.8046902418136597},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.7990591526031494},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7765233516693115},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.6580085754394531},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5405011177062988},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.508489727973938},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.48575618863105774},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40047112107276917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3933147192001343},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.360062837600708},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.34333336353302},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3426389992237091},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.21741363406181335},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.15661349892616272}],"concepts":[{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.8046902418136597},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.7990591526031494},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7765233516693115},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.6580085754394531},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5405011177062988},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.508489727973938},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.48575618863105774},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40047112107276917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3933147192001343},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.360062837600708},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.34333336353302},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3426389992237091},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.21741363406181335},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.15661349892616272},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","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":1,"locations":[{"id":"doi:10.1109/infocom.2016.7524471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2016.7524471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1597538628","https://openalex.org/W1866372714","https://openalex.org/W1965969360","https://openalex.org/W2010163591","https://openalex.org/W2030447001","https://openalex.org/W2050923583","https://openalex.org/W2056473436","https://openalex.org/W2061820396","https://openalex.org/W2099556653","https://openalex.org/W2101196063","https://openalex.org/W2108858998","https://openalex.org/W2110953678","https://openalex.org/W2111106816","https://openalex.org/W2121761994","https://openalex.org/W2135315962","https://openalex.org/W2144629587","https://openalex.org/W2148443742","https://openalex.org/W2157457404","https://openalex.org/W2266011355","https://openalex.org/W2295399796","https://openalex.org/W2296336795","https://openalex.org/W2755088640"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2518037665","https://openalex.org/W2348524959","https://openalex.org/W2477036161","https://openalex.org/W2368049389","https://openalex.org/W2384861574","https://openalex.org/W2170801710","https://openalex.org/W2952704802","https://openalex.org/W2030628044","https://openalex.org/W2998073084"],"abstract_inverted_index":{"Online":[0],"social":[1,15,51,73,97],"networks":[2,16,52,98],"have":[3],"gained":[4],"significant":[5],"popularity":[6],"recently.":[7],"The":[8,40,121],"problem":[9,112],"of":[10,49,66],"influence":[11,25,78,88,92,128],"maximization":[12,79],"in":[13,22,27,53,80,94],"online":[14,50,96],"has":[17,139],"been":[18],"extensively":[19],"studied.":[20],"However,":[21],"prior":[23],"works,":[24],"propagation":[26,89,93,129],"the":[28,100,126,134],"physical":[29,101],"world,":[30],"which":[31,54],"is":[32,37,113,119,131],"also":[33],"an":[34,87],"indispensable":[35],"factor,":[36],"not":[38],"considered.":[39],"Location-Based":[41],"Social":[42],"Networks":[43],"(LBSNs)":[44],"are":[45,105],"a":[46,116],"special":[47],"kind":[48],"people":[55],"can":[56],"share":[57],"location-embedded":[58],"information.":[59],"In":[60],"this":[61],"paper,":[62],"we":[63],"make":[64],"use":[65],"mobile":[67],"crowdsourced":[68],"data":[69],"obtained":[70],"from":[71],"location-based":[72],"network":[74,84],"services":[75],"to":[76],"study":[77],"LBSNs.":[81],"A":[82],"novel":[83],"model":[85,90,130],"and":[86,99,115,133],"taking":[91],"both":[95],"world":[102],"into":[103],"consideration":[104],"proposed.":[106],"An":[107],"event":[108],"activation":[109,135],"position":[110,136],"selection":[111,137],"formalized":[114],"corresponding":[117],"solution":[118],"provided.":[120],"experimental":[122],"results":[123],"indicate":[124],"that":[125],"proposed":[127],"meaningful":[132],"algorithm":[138],"high":[140],"performance.":[141]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":27},{"year":2019,"cited_by_count":38},{"year":2018,"cited_by_count":28},{"year":2017,"cited_by_count":19},{"year":2016,"cited_by_count":24}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}