{"id":"https://openalex.org/W1530920927","doi":"https://doi.org/10.1109/infcomw.2015.7179416","title":"Spatial and temporal considerations in next place predictions","display_name":"Spatial and temporal considerations in next place predictions","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1530920927","doi":"https://doi.org/10.1109/infcomw.2015.7179416","mag":"1530920927"},"language":"en","primary_location":{"id":"doi:10.1109/infcomw.2015.7179416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infcomw.2015.7179416","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","raw_type":"proceedings-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/A5059932377","display_name":"Bhaskar Prabhala","orcid":null},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Bhaskar Prabhala","raw_affiliation_strings":["Institute for Networking and Security Research, Computer Science and Engineering, Pennsylvania State University, University Park, PA","Institute for Networking and Security Research, Computer Science and Engineering, Pennsylvania State University, University Park, 16802, USA"],"affiliations":[{"raw_affiliation_string":"Institute for Networking and Security Research, Computer Science and Engineering, Pennsylvania State University, University Park, PA","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Institute for Networking and Security Research, Computer Science and Engineering, Pennsylvania State University, University Park, 16802, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073465096","display_name":"Thomas La Porta","orcid":"https://orcid.org/0000-0003-1295-4461"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas La Porta","raw_affiliation_strings":["Institute for Networking and Security Research, Computer Science and Engineering, Pennsylvania State University, University Park, PA, US","Institute for Networking and Security Research, Computer Science and Engineering, Pennsylvania State University, University Park, 16802, USA"],"affiliations":[{"raw_affiliation_string":"Institute for Networking and Security Research, Computer Science and Engineering, Pennsylvania State University, University Park, PA, US","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Institute for Networking and Security Research, Computer Science and Engineering, Pennsylvania State University, University Park, 16802, USA","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059932377"],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":2.2483,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.89603823,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"390","last_page":"395"},"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9975000023841858,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9621999859809875,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"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/baseline","display_name":"Baseline (sea)","score":0.7861773371696472},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7782869935035706},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6856648325920105},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.5493285059928894},{"id":"https://openalex.org/keywords/mobility-model","display_name":"Mobility model","score":0.4332151412963867},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36738643050193787},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3232772648334503},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0946086049079895}],"concepts":[{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.7861773371696472},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7782869935035706},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6856648325920105},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.5493285059928894},{"id":"https://openalex.org/C191485582","wikidata":"https://www.wikidata.org/wiki/Q6887309","display_name":"Mobility model","level":2,"score":0.4332151412963867},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36738643050193787},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3232772648334503},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0946086049079895},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infcomw.2015.7179416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infcomw.2015.7179416","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1987228002","https://openalex.org/W1992293391","https://openalex.org/W1994718979","https://openalex.org/W2002169759","https://openalex.org/W2023646352","https://openalex.org/W2028523027","https://openalex.org/W2044023374","https://openalex.org/W2054610764","https://openalex.org/W2069350168","https://openalex.org/W2107976954","https://openalex.org/W2110953678","https://openalex.org/W2117149360","https://openalex.org/W2132166479","https://openalex.org/W2153635508","https://openalex.org/W2767544505","https://openalex.org/W4235571646","https://openalex.org/W6676135264"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W3045540481","https://openalex.org/W92963860","https://openalex.org/W2172042298"],"abstract_inverted_index":{"We":[0,60,80,121,146,192],"present":[1],"synthesized":[2],"findings":[3],"from":[4,180,198,222],"a":[5,13,63,98],"systematic":[6],"study":[7],"of":[8,21,65,84,101,150,153,203,211],"user":[9,34],"mobility":[10,35,110,157,168,224],"based":[11,37],"on":[12,38],"well":[14],"grounded":[15],"data":[16,218],"set":[17,100,219],"through":[18,89],"mining":[19],"attributes":[20],"place-to-place":[22],"transitions.":[23],"Next":[24],"place":[25,133,199,229],"predictions":[26],"are":[27,175],"the":[28,66,77,82,156,217,223],"atomic":[29],"units":[30],"in":[31,44,108,155,170,216],"constructing":[32],"end-to-end":[33],"trajectories":[36,43],"historical":[39],"trace":[40],"data.":[41],"These":[42],"turn":[45],"form":[46],"models":[47],"for":[48,54,167],"opportunistic":[49],"networks":[50],"to":[51,75,160,233,236],"be":[52,161],"utilized":[53],"providing":[55],"location":[56],"and":[57,72,112,134,142,188,220],"communication":[58],"services.":[59],"start":[61,70],"with":[62,117,139,177],"baseline":[64,237],"user's":[67],"current":[68],"place,":[69],"time,":[71],"end":[73,185],"time":[74,186],"predict":[76],"next":[78,228],"place.":[79],"demonstrate":[81],"efficiency":[83],"an":[85],"algorithm":[86],"called":[87],"PeriodicaS":[88,104],"aggregated":[90],"average":[91],"prediction":[92,115,230],"accuracies":[93,116,231],"across":[94],"all":[95],"users":[96],"over":[97],"large":[99],"diverse":[102],"participants.":[103],"mines":[105],"periodicity":[106],"intelligently":[107],"users'":[109],"traces":[111],"further":[113],"improves":[114],"additional":[118],"classification":[119,124],"rules.":[120],"derive":[122],"these":[123,208],"rules":[125],"by":[126,201],"applying":[127],"explicit":[128],"semantic":[129,163,173,196,212],"annotations":[130,174,197],"(home,":[131],"work":[132],"public":[135],"transportation":[136],"points":[137],"associated":[138],"places":[140,182],"visited),":[141],"accompanying":[143],"group":[144],"information.":[145],"propose":[147],"novel":[148],"ways":[149],"transforming":[151],"bits":[152],"information":[154],"traces,":[158,225],"defined":[159],"inherent":[162,195],"annotations,":[164,213],"as":[165,184],"features":[166],"modeling":[169],"PeriodicaS.":[171],"Inherent":[172],"computed":[176],"temporal":[178],"variations":[179],"visited":[181],"such":[183],"only,":[187],"measuring":[189],"duration":[190],"time.":[191],"deduce":[193],"more":[194],"rankings":[200],"frequency":[202],"visits.":[204],"By":[205],"progressively":[206],"employing":[207],"two":[209],"types":[210],"explicitly":[214],"stated":[215],"deduced":[221],"we":[226],"improve":[227],"up":[232],"54%":[234],"compared":[235],"predictions.":[238]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-01-03T23:08:47.215875","created_date":"2025-10-10T00:00:00"}
