{"id":"https://openalex.org/W2534560178","doi":"https://doi.org/10.1145/2983323.2983804","title":"Who are My Familiar Strangers?","display_name":"Who are My Familiar Strangers?","publication_year":2016,"publication_date":"2016-10-24","ids":{"openalex":"https://openalex.org/W2534560178","doi":"https://doi.org/10.1145/2983323.2983804","mag":"2534560178"},"language":"en","primary_location":{"id":"doi:10.1145/2983323.2983804","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2983323.2983804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM International on Conference on Information and Knowledge Management","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/A5082241536","display_name":"Fusang Zhang","orcid":"https://orcid.org/0000-0002-2529-8021"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fusang Zhang","raw_affiliation_strings":["Institute of Software, Chinese Academy of Sciences; University of Chinese Academy of Sciences, Beijing, China","Institute of Software, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Software, Chinese Academy of Sciences; University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Institute of Software, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066621776","display_name":"Beihong Jin","orcid":"https://orcid.org/0000-0003-3683-4034"},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Beihong Jin","raw_affiliation_strings":["Institute of Software, Chinese Academy of Sciences; University of Chinese Academy of Sciences, Beijing, China","Institute of Software, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Software, Chinese Academy of Sciences; University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Institute of Software, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048219544","display_name":"Tingjian Ge","orcid":"https://orcid.org/0000-0003-2225-8291"},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tingjian Ge","raw_affiliation_strings":["University of Massachusetts Lowell, Massachusetts, USA"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts Lowell, Massachusetts, USA","institution_ids":["https://openalex.org/I133738476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076346273","display_name":"Qiang Ji","orcid":"https://orcid.org/0000-0002-4302-2889"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Ji","raw_affiliation_strings":["Institute of Software, Chinese Academy of Sciences; University of Chinese Academy of Sciences, Beijing, China","Institute of Software, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Software, Chinese Academy of Sciences; University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Institute of Software, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054273154","display_name":"Yanling Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanling Cui","raw_affiliation_strings":["Institute of Software, Chinese Academy of Sciences; University of Chinese Academy of Sciences, Beijing, China","Institute of Software, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Software, Chinese Academy of Sciences; University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Institute of Software, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5082241536"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128818","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":7.3607,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.96157083,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"619","last_page":"628"},"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":0.9973999857902527,"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":0.9915000200271606,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.7192349433898926},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6830669641494751},{"id":"https://openalex.org/keywords/beijing","display_name":"Beijing","score":0.6280360817909241},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5535873174667358},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.49072253704071045},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4798571467399597},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4605165719985962},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.43332844972610474},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.43175965547561646},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.4218997657299042},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.40577685832977295},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.3728793263435364},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.34770968556404114},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2798459827899933},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.19026857614517212},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.11913144588470459},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11333543062210083},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10847514867782593},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.10270720720291138},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.09647458791732788}],"concepts":[{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.7192349433898926},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6830669641494751},{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.6280360817909241},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5535873174667358},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.49072253704071045},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4798571467399597},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4605165719985962},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.43332844972610474},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.43175965547561646},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.4218997657299042},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.40577685832977295},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.3728793263435364},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.34770968556404114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2798459827899933},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.19026857614517212},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.11913144588470459},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11333543062210083},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10847514867782593},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.10270720720291138},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09647458791732788},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2983323.2983804","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2983323.2983804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM International on Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.47999998927116394}],"awards":[{"id":"https://openalex.org/G3755757979","display_name":null,"funder_award_id":"No. 61472408, No. 61379044.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7154900658","display_name":null,"funder_award_id":"IIS-1239176, IIS-1319600","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1880262756","https://openalex.org/W1971421925","https://openalex.org/W1972436494","https://openalex.org/W1987909411","https://openalex.org/W2001344462","https://openalex.org/W2004809710","https://openalex.org/W2062785849","https://openalex.org/W2069779729","https://openalex.org/W2095293504","https://openalex.org/W2109341352","https://openalex.org/W2110591510","https://openalex.org/W2113052721","https://openalex.org/W2124499489","https://openalex.org/W2131681506","https://openalex.org/W2139153982","https://openalex.org/W2146950091","https://openalex.org/W2149814409","https://openalex.org/W2153108462","https://openalex.org/W2166278277","https://openalex.org/W2189251073","https://openalex.org/W2438985978","https://openalex.org/W2572833478","https://openalex.org/W3099768174","https://openalex.org/W3099848370","https://openalex.org/W6639619044"],"related_works":["https://openalex.org/W2888805565","https://openalex.org/W4312773271","https://openalex.org/W4315588616","https://openalex.org/W2769501189","https://openalex.org/W2962686197","https://openalex.org/W2207653751","https://openalex.org/W4293863151","https://openalex.org/W3159709618","https://openalex.org/W2611137333","https://openalex.org/W3005513013"],"abstract_inverted_index":{"The":[0,193],"newly":[1],"emerging":[2],"location-based":[3],"social":[4,13],"networks":[5],"(LBSN)":[6],"such":[7],"as":[8],"Tinder":[9],"and":[10,38,68,97,101,176,185],"Momo":[11],"extends":[12],"interaction":[14],"from":[15,81],"friends":[16],"to":[17,29,114,123,128,162],"strangers,":[18,62],"providing":[19],"novel":[20],"experiences":[21],"of":[22,59,78,89,104,132,140,180,188],"making":[23],"new":[24],"friends.":[25],"Familiar":[26],"strangers":[27,31],"refer":[28],"the":[30,57,87,99,130,213,217],"who":[32],"meet":[33],"frequently":[34],"in":[35,86,191],"daily":[36],"life":[37],"may":[39,45],"share":[40],"common":[41,70,138],"interests;":[42],"thus":[43],"they":[44],"be":[46],"good":[47],"candidates":[48],"for":[49,152,159],"friend":[50,117,166],"recommendation.":[51],"In":[52],"this":[53,95],"paper,":[54],"we":[55,109,136],"study":[56,210],"problem":[58],"discovering":[60],"familiar":[61],"specifically,":[63],"public":[64],"transportation":[65],"trip":[66,133],"companions,":[67],"their":[69],"interests.":[71],"We":[72,92,170],"collect":[73],"5.7":[74],"million":[75,84],"transaction":[76],"records":[77,184],"smart":[79,182],"cards":[80],"about":[82],"3.02":[83],"people":[85],"city":[88],"Beijing,":[90],"China.":[91],"first":[93],"analyze":[94],"dataset":[96],"reveal":[98],"temporal":[100],"spatial":[102],"characteristics":[103],"passenger":[105],"encounter":[106],"behaviors.":[107],"Then":[108],"propose":[110],"a":[111,144],"stability":[112],"metric":[113,120],"measure":[115],"hidden":[116,165],"relations.":[118],"This":[119],"facilitates":[121],"us":[122],"employ":[124],"community":[125,142],"detection":[126],"techniques":[127],"capture":[129],"communities":[131,160,218],"companions.":[134],"Further,":[135],"infer":[137],"interests":[139],"each":[141],"using":[143,174],"topic":[145],"model,":[146],"i.e.,":[147],"LDA4HFC":[148],"(Latent":[149],"Dirichlet":[150],"Allocation":[151],"Hidden":[153],"Friend":[154],"Communities)":[155],"model.":[156],"Such":[157],"topics":[158,215],"help":[161],"understand":[163],"how":[164],"clusters":[167],"are":[168],"formed.":[169],"evaluate":[171],"our":[172,197,208],"method":[173,198],"large-scale":[175],"real-world":[177],"datasets,":[178],"consisting":[179],"two-week":[181],"card":[183],"901,855":[186],"Point":[187],"Interests":[189],"(POIs)":[190],"Beijing.":[192],"results":[194],"show":[195],"that":[196,212],"outperforms":[199],"three":[200],"baseline":[201],"methods":[202],"with":[203],"higher":[204],"recommendation":[205],"accuracy.":[206],"Moreover,":[207],"case":[209],"demonstrates":[211],"discovered":[214],"interpret":[216],"very":[219],"well.":[220]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}