{"id":"https://openalex.org/W2536639710","doi":"https://doi.org/10.1109/dsaa.2014.7058055","title":"Exploiting mobility for location promotion in location-based social networks","display_name":"Exploiting mobility for location promotion in location-based social networks","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2536639710","doi":"https://doi.org/10.1109/dsaa.2014.7058055","mag":"2536639710"},"language":"en","primary_location":{"id":"doi:10.1109/dsaa.2014.7058055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa.2014.7058055","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Data Science and Advanced Analytics (DSAA)","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/A5103552232","display_name":"Wen-Yuan Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen-Yuan Zhu","raw_affiliation_strings":["National Chiao Tung University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102958591","display_name":"Wen-Chih Peng","orcid":"https://orcid.org/0000-0001-8964-0933"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen-Chih Peng","raw_affiliation_strings":["National Chiao Tung University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100428785","display_name":"Ling\u2010Jyh Chen","orcid":"https://orcid.org/0000-0001-5667-7764"},"institutions":[{"id":"https://openalex.org/I84653119","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784","country_code":"TW","type":"facility","lineage":["https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ling-Jyh Chen","raw_affiliation_strings":["Academia Sinica, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I84653119"]}]}],"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":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"76","last_page":"82"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998999834060669,"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":0.9976999759674072,"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/T11478","display_name":"Caching and Content Delivery","score":0.9973999857902527,"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/computer-science","display_name":"Computer science","score":0.7450626492500305},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.6169910430908203},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5823975801467896},{"id":"https://openalex.org/keywords/location-model","display_name":"Location model","score":0.5704154372215271},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5457586050033569},{"id":"https://openalex.org/keywords/promotion","display_name":"Promotion (chess)","score":0.5456181764602661},{"id":"https://openalex.org/keywords/mobility-model","display_name":"Mobility model","score":0.471001535654068},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.44957152009010315},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43263962864875793},{"id":"https://openalex.org/keywords/random-walk","display_name":"Random walk","score":0.41203010082244873},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32483601570129395},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2914217710494995},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2251308262348175},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.19435781240463257},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1609407365322113},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.1492791473865509}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7450626492500305},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.6169910430908203},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5823975801467896},{"id":"https://openalex.org/C2776608338","wikidata":"https://www.wikidata.org/wiki/Q6664803","display_name":"Location model","level":2,"score":0.5704154372215271},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5457586050033569},{"id":"https://openalex.org/C98147612","wikidata":"https://www.wikidata.org/wiki/Q215599","display_name":"Promotion (chess)","level":3,"score":0.5456181764602661},{"id":"https://openalex.org/C191485582","wikidata":"https://www.wikidata.org/wiki/Q6887309","display_name":"Mobility model","level":2,"score":0.471001535654068},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.44957152009010315},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43263962864875793},{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.41203010082244873},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32483601570129395},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2914217710494995},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2251308262348175},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.19435781240463257},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1609407365322113},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.1492791473865509},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsaa.2014.7058055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa.2014.7058055","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Data Science and Advanced Analytics (DSAA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7200000286102295,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W7143572","https://openalex.org/W148444222","https://openalex.org/W958171979","https://openalex.org/W1654194294","https://openalex.org/W1934562893","https://openalex.org/W1967210573","https://openalex.org/W1982300822","https://openalex.org/W1984069252","https://openalex.org/W2011975873","https://openalex.org/W2012580531","https://openalex.org/W2048754172","https://openalex.org/W2049626361","https://openalex.org/W2061820396","https://openalex.org/W2062231365","https://openalex.org/W2087692915","https://openalex.org/W2110953678","https://openalex.org/W2114608211","https://openalex.org/W2117742206","https://openalex.org/W2136317921","https://openalex.org/W2137096596","https://openalex.org/W2138543759","https://openalex.org/W2141403143","https://openalex.org/W2141596757","https://openalex.org/W2157521848","https://openalex.org/W2168346693","https://openalex.org/W6600283903","https://openalex.org/W6625085184","https://openalex.org/W6640543616","https://openalex.org/W6683175271"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"In":[0,156],"this":[1],"paper,":[2],"we":[3,22,46,113,159],"target":[4],"the":[5,48,62,68,72,76,82,87,99,134,145,148,157,161],"location":[6,15,49,89,106],"promotion":[7,16,50],"problem":[8,17,51,56],"in":[9],"location-based":[10],"social":[11],"networks":[12],"(LBSNs).":[13],"The":[14],"is":[18,97,107],"given":[19],"a":[20,24,42,58,105,115],"location,":[21,147],"select":[23],"set":[25],"of":[26,75,78,95,102,138,151,163],"users":[27,34,85,103],"as":[28,32,35,52],"seeds":[29],"to":[30,40,122],"influence":[31,54],"many":[33],"possible":[36],"who":[37],"are":[38],"likely":[39],"visit":[41],"selected":[43,88,146],"location.":[44],"Specifically,":[45],"model":[47,66,117,123],"an":[53],"maximization":[55],"on":[57,67,109,142,167],"graph":[59],"and":[60,86,133,144],"explore":[61],"independent":[63],"cascading":[64],"diffusion":[65],"graph.":[69],"To":[70],"determine":[71],"propagation":[73,149],"probability":[74,150],"edges":[77,152],"our":[79,164],"proposed":[80,165],"graph,":[81],"relation":[83],"between":[84],"should":[90],"be":[91,154],"detected.":[92],"A":[93],"property":[94,137],"LBSN":[96],"that":[98],"major":[100],"reason":[101],"visiting":[104],"based":[108],"their":[110],"mobility.":[111,126],"Therefore,":[112],"propose":[114],"mobility":[116],"DMM":[118,127,143],"(Distance-based":[119],"Mobility":[120],"Model)":[121],"each":[124],"user's":[125],"exploits":[128],"random":[129],"walk":[130],"with":[131],"restart":[132],"power":[135],"law":[136],"users'":[139],"movements.":[140],"Based":[141],"can":[153],"derived.":[155],"evaluation,":[158],"show":[160],"performance":[162],"algorithms":[166],"two":[168],"real":[169],"datasets.":[170]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}