{"id":"https://openalex.org/W1969086082","doi":"https://doi.org/10.1109/percomw.2014.6815269","title":"The quest for user similarity in mobile societies","display_name":"The quest for user similarity in mobile societies","publication_year":2014,"publication_date":"2014-03-01","ids":{"openalex":"https://openalex.org/W1969086082","doi":"https://doi.org/10.1109/percomw.2014.6815269","mag":"1969086082"},"language":"en","primary_location":{"id":"doi:10.1109/percomw.2014.6815269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomw.2014.6815269","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS)","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/A5069041669","display_name":"Mai ElSherief","orcid":"https://orcid.org/0000-0003-4718-5201"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mai ElSherief","raw_affiliation_strings":["The Department of Computer Science, University of California, Santa Barbara, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Department of Computer Science, University of California, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037218370","display_name":"Tamer ElBatt","orcid":"https://orcid.org/0000-0002-1081-9576"},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]},{"id":"https://openalex.org/I57629906","display_name":"Nile University","ror":"https://ror.org/03cg7cp61","country_code":"EG","type":"education","lineage":["https://openalex.org/I57629906"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Tamer ElBatt","raw_affiliation_strings":["Faculty of Engineering, Cairo University, Giza, Egypt","[Wireless Intelligent Networks Center (WINC), Nile University, Smart Village, Giza, Egypt]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Cairo University, Giza, Egypt","institution_ids":["https://openalex.org/I145487455"]},{"raw_affiliation_string":"[Wireless Intelligent Networks Center (WINC), Nile University, Smart Village, Giza, Egypt]","institution_ids":["https://openalex.org/I57629906"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066566275","display_name":"Ahmed H. Zahran","orcid":"https://orcid.org/0000-0003-3405-0324"},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]},{"id":"https://openalex.org/I57629906","display_name":"Nile University","ror":"https://ror.org/03cg7cp61","country_code":"EG","type":"education","lineage":["https://openalex.org/I57629906"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Ahmed Zahran","raw_affiliation_strings":["Faculty of Engineering, Cairo University, Giza, Egypt","[Wireless Intelligent Networks Center (WINC), Nile University, Smart Village, Giza, Egypt]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Cairo University, Giza, Egypt","institution_ids":["https://openalex.org/I145487455"]},{"raw_affiliation_string":"[Wireless Intelligent Networks Center (WINC), Nile University, Smart Village, Giza, Egypt]","institution_ids":["https://openalex.org/I57629906"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048781653","display_name":"Ahmed Helmy","orcid":"https://orcid.org/0000-0003-1878-3536"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmed Helmy","raw_affiliation_strings":["The Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1152,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.86707341,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"129","issue":null,"first_page":"569","last_page":"574"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.996399998664856,"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":0.996399998664856,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9868999719619751,"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/hellinger-distance","display_name":"Hellinger distance","score":0.8065791726112366},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7255392670631409},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6593899726867676},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6267508268356323},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.5565546751022339},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4690965414047241},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.4618372917175293},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.45530739426612854},{"id":"https://openalex.org/keywords/jaccard-index","display_name":"Jaccard index","score":0.45489755272865295},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.44580212235450745},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4291473627090454},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4055648446083069},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3972785174846649},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2999301850795746},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2942633032798767},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13670143485069275}],"concepts":[{"id":"https://openalex.org/C153024298","wikidata":"https://www.wikidata.org/wiki/Q3030678","display_name":"Hellinger distance","level":2,"score":0.8065791726112366},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7255392670631409},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6593899726867676},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6267508268356323},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.5565546751022339},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4690965414047241},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.4618372917175293},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.45530739426612854},{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.45489755272865295},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.44580212235450745},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4291473627090454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4055648446083069},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3972785174846649},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2999301850795746},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2942633032798767},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13670143485069275},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/percomw.2014.6815269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomw.2014.6815269","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W195533127","https://openalex.org/W1501500081","https://openalex.org/W1575476631","https://openalex.org/W1604213045","https://openalex.org/W1930859353","https://openalex.org/W1972661629","https://openalex.org/W1976320242","https://openalex.org/W1977314396","https://openalex.org/W1999594085","https://openalex.org/W2014784455","https://openalex.org/W2020631075","https://openalex.org/W2042860072","https://openalex.org/W2070839027","https://openalex.org/W2076169797","https://openalex.org/W2107961623","https://openalex.org/W2132458099","https://openalex.org/W2137728971","https://openalex.org/W2166293769","https://openalex.org/W2534071711","https://openalex.org/W2536986552","https://openalex.org/W4205924872","https://openalex.org/W4246247853","https://openalex.org/W6607976765"],"related_works":["https://openalex.org/W4381948805","https://openalex.org/W4214483597","https://openalex.org/W4388145912","https://openalex.org/W2767543488","https://openalex.org/W1437580529","https://openalex.org/W2307895033","https://openalex.org/W3048951355","https://openalex.org/W4313532769","https://openalex.org/W3215923396","https://openalex.org/W4286850906"],"abstract_inverted_index":{"In":[0,23,136],"this":[1,58],"paper":[2],"we":[3,25,60,86,108,138],"explore":[4],"the":[5,27,51,79,94,104,128,133,152,155,163,173,178,185,191,194,198],"notion":[6,54],"of":[7,15,29,55,81,132,169],"mobile":[8,21,223],"users'":[9],"similarity":[10,31,91,125,143,181,206,220],"as":[11,38,40,119],"a":[12,42,82,110,120,140,167,215],"key":[13,170],"enabler":[14],"innovative":[16],"applications":[17],"hinging":[18],"on":[19,146,151,177,221],"opportunistic":[20],"encounters.":[22],"particular,":[24],"analyze":[26,87],"performance":[28],"known":[30,88],"metrics,":[32],"applicable":[33],"to":[34,49,71,127,149,184,189],"our":[35],"problem":[36],"domain,":[37],"well":[39],"propose":[41],"novel":[43,141],"temporal-based":[44],"metric,":[45,144],"in":[46,78,154,193],"an":[47],"attempt":[48],"quantify":[50],"inherently":[52],"qualitative":[53],"similarity.":[56],"Towards":[57],"objective,":[59],"first":[61],"introduce":[62,139],"generalized":[63],"profile":[64,96],"structures,":[65],"beyond":[66],"mere":[67],"location,":[68],"that":[69],"aim":[70],"capture":[72],"users":[73],"interests":[74],"and":[75,89,158],"prior":[76],"experiences,":[77],"form":[80],"probability":[83,114,129,208],"distribution.":[84],"Afterwards,":[85],"proposed":[90,95,134],"metrics":[92,175,213],"for":[93,123,204],"structures":[97],"using":[98],"publicly":[99],"available":[100],"data.":[101],"Apart":[102],"from":[103,113],"classic":[105],"Cosine":[106],"similarity,":[107],"identify":[109],"distance":[111,200],"metric":[112],"theory,":[115],"namely":[116],"Hellinger":[117,199],"distance,":[118],"strong":[121],"candidate":[122],"quantifying":[124,205],"due":[126,188],"distribution":[130,209],"structure":[131],"profiles.":[135,210],"addition,":[137],"temporal":[142,156,174,195,219],"based":[145],"matrix":[147],"vectorization,":[148],"capitalize":[150],"richness":[153],"dimension":[157],"maintain":[159],"low":[160],"complexity.":[161],"Finally,":[162],"numerical":[164],"results":[165],"unveil":[166],"number":[168],"insights.":[171],"First,":[172],"yield,":[176],"average,":[179],"lower":[180],"indices,":[182],"compared":[183],"non-temporal":[186],"ones,":[187],"incorporating":[190],"dynamics":[192],"dimension.":[196],"Second,":[197],"holds":[201],"great":[202],"promise":[203],"between":[207],"Third,":[211],"vectorized":[212],"constitute":[214],"low-complexity":[216],"approach":[217],"towards":[218],"resource-limited":[222],"devices.":[224]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":6}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}