{"id":"https://openalex.org/W2808523623","doi":"https://doi.org/10.1109/wcnc.2018.8377080","title":"Inferring implicit social ties in mobile social networks","display_name":"Inferring implicit social ties in mobile social networks","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2808523623","doi":"https://doi.org/10.1109/wcnc.2018.8377080","mag":"2808523623"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc.2018.8377080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2018.8377080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Wireless Communications and Networking Conference (WCNC)","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/A5041849664","display_name":"Ting Pi","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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Pi","raw_affiliation_strings":["Science & Technology on Integrated Infomation System, University of Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science & Technology on Integrated Infomation System, University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077865765","display_name":"Lingwei Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","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":"Lingwei Cao","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Software"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Software","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101683859","display_name":"Pin Lv","orcid":"https://orcid.org/0000-0003-3044-0747"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pin Lv","raw_affiliation_strings":["Science & Technology on Integrated Infomation System, University of Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science & Technology on Integrated Infomation System, University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079203745","display_name":"Zhili Ye","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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhili Ye","raw_affiliation_strings":["Science & Technology on Integrated Infomation System, University of Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science & Technology on Integrated Infomation System, University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100446064","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0001-9301-5989"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","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":"Hao Wang","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Software"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Software","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"106","issue":null,"first_page":"1","last_page":"6"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9983000159263611,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpersonal-ties","display_name":"Interpersonal ties","score":0.8782912492752075},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7197871208190918},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.7138373851776123},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.6764762997627258},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5681160688400269},{"id":"https://openalex.org/keywords/predictability","display_name":"Predictability","score":0.48281535506248474},{"id":"https://openalex.org/keywords/mobile-social-network","display_name":"Mobile social network","score":0.47311636805534363},{"id":"https://openalex.org/keywords/social-computing","display_name":"Social computing","score":0.4572323262691498},{"id":"https://openalex.org/keywords/social-network-analysis","display_name":"Social network analysis","score":0.45138129591941833},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.437465101480484},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.43233299255371094},{"id":"https://openalex.org/keywords/social-graph","display_name":"Social graph","score":0.4132137596607208},{"id":"https://openalex.org/keywords/mobile-computing","display_name":"Mobile computing","score":0.3745134472846985},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.3437454104423523},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.32937973737716675},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26846641302108765},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.2355588674545288},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.16575297713279724},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09960398077964783},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.09463021159172058}],"concepts":[{"id":"https://openalex.org/C142189719","wikidata":"https://www.wikidata.org/wiki/Q1276633","display_name":"Interpersonal ties","level":2,"score":0.8782912492752075},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7197871208190918},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.7138373851776123},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.6764762997627258},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5681160688400269},{"id":"https://openalex.org/C197640229","wikidata":"https://www.wikidata.org/wiki/Q2534066","display_name":"Predictability","level":2,"score":0.48281535506248474},{"id":"https://openalex.org/C2780228002","wikidata":"https://www.wikidata.org/wiki/Q2059727","display_name":"Mobile social network","level":3,"score":0.47311636805534363},{"id":"https://openalex.org/C74216064","wikidata":"https://www.wikidata.org/wiki/Q615684","display_name":"Social computing","level":3,"score":0.4572323262691498},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.45138129591941833},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.437465101480484},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.43233299255371094},{"id":"https://openalex.org/C2777522414","wikidata":"https://www.wikidata.org/wiki/Q648457","display_name":"Social graph","level":3,"score":0.4132137596607208},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.3745134472846985},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.3437454104423523},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.32937973737716675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26846641302108765},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.2355588674545288},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.16575297713279724},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09960398077964783},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.09463021159172058},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcnc.2018.8377080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2018.8377080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322847","display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences","ror":"https://ror.org/031141b54"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1560512119","https://openalex.org/W1995629273","https://openalex.org/W1997590279","https://openalex.org/W2013315566","https://openalex.org/W2022580894","https://openalex.org/W2022867359","https://openalex.org/W2025708957","https://openalex.org/W2095054612","https://openalex.org/W2126895033","https://openalex.org/W2129129488","https://openalex.org/W2130354913","https://openalex.org/W2137813581","https://openalex.org/W2166692930","https://openalex.org/W2187741934","https://openalex.org/W2438985978","https://openalex.org/W2607403900","https://openalex.org/W2614073272","https://openalex.org/W3099784872","https://openalex.org/W6633434192","https://openalex.org/W6686958735"],"related_works":["https://openalex.org/W2088496648","https://openalex.org/W2808523623","https://openalex.org/W2092607866","https://openalex.org/W4235438715","https://openalex.org/W1542731186","https://openalex.org/W2109285553","https://openalex.org/W2270698437","https://openalex.org/W2618154072","https://openalex.org/W2996558524","https://openalex.org/W4237702181"],"abstract_inverted_index":{"Mobile":[0],"social":[1,27,39,59,69,84,100,108,136,175,201,210,220],"networks":[2],"provide":[3],"a":[4,94,164,198],"platform":[5],"to":[6,22,47,97,128,172],"collect":[7],"users'":[8,25,42,112,121],"mobility":[9,31,122],"information":[10],"via":[11],"mobile":[12,24,200,223],"devices,":[13],"and":[14,55,77,120,124,159,189],"foster":[15],"many":[16],"location-aware":[17],"services,":[18],"which":[19],"enable":[20],"us":[21],"infer":[23,98,173],"implicit":[26,99],"ties":[28,40,70,109,137,176,211,221],"from":[29,41,138,186,197,212],"their":[30],"information.":[32],"Some":[33],"researches":[34],"have":[35,225],"focused":[36],"on":[37,110,195],"identifying":[38],"co-occurrences.":[43],"However,":[44],"they":[45],"fail":[46],"consider":[48],"that":[49,65],"users":[50,67,224],"meet":[51,71,80],"at":[52],"different":[53,58,105],"times":[54,76],"places":[56],"indicates":[57],"tie":[60,85],"strength.":[61],"Furthermore,":[62],"statistics":[63],"show":[64,203],"most":[66],"with":[68,72],"each":[73],"other":[74],"few":[75,144,226],"even":[78],"never":[79],"in":[81,177,228],"geography,":[82],"making":[83],"inference":[86],"more":[87],"challenging.":[88],"In":[89],"this":[90],"paper,":[91],"we":[92,103,148],"propose":[93],"unified":[95],"framework":[96],"ties.":[101],"Specifically,":[102],"explore":[104],"aspects":[106],"of":[107,143,152,208,219],"causing":[111],"co-occurrences,":[113,147],"such":[114],"as":[115],"location":[116,154,188],"popularity,":[117],"co-occurrence":[118],"diversity,":[119],"behaviors,":[123],"further":[125],"incorporate":[126],"them":[127],"capture":[129],"the":[130,141,178,206,217,229],"spatial-temporal":[131],"dynamics":[132],"for":[133],"accurately":[134],"distinguishing":[135,209],"coincidences.":[139],"For":[140],"case":[142],"or":[145],"no":[146],"build":[149],"three":[150],"types":[151],"networks:":[153],"network,":[155],"user-location":[156,190],"cross":[157,191],"network":[158,181,202],"incomplete":[160,179],"user":[161,180],"network.":[162,192],"Then,":[163],"mutual":[165],"impact":[166],"factor":[167],"graph":[168],"model":[169],"is":[170],"proposed":[171],"missing":[174],"by":[182],"transferring":[183],"knowledge":[184],"extracted":[185],"given":[187],"Experiments":[193],"conducted":[194],"datasets":[196],"real":[199],"not":[204],"only":[205],"superiority":[207],"coincidences":[213],"but":[214],"also":[215],"validate":[216],"predictability":[218],"although":[222],"interactions":[227],"physical":[230],"world.":[231]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}