{"id":"https://openalex.org/W3046171781","doi":"https://doi.org/10.1109/icc40277.2020.9148703","title":"Social-IFD: Personalized Influential Friends Discovery Based on Semantics in LBSN","display_name":"Social-IFD: Personalized Influential Friends Discovery Based on Semantics in LBSN","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3046171781","doi":"https://doi.org/10.1109/icc40277.2020.9148703","mag":"3046171781"},"language":"en","primary_location":{"id":"doi:10.1109/icc40277.2020.9148703","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc40277.2020.9148703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","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/A5103187204","display_name":"Xiang Pan","orcid":"https://orcid.org/0009-0009-8116-160X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiang Pan","raw_affiliation_strings":["National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008406199","display_name":"Ruimin Hu","orcid":"https://orcid.org/0000-0002-5872-3872"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruimin Hu","raw_affiliation_strings":["National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055698842","display_name":"Dengshi Li","orcid":"https://orcid.org/0000-0002-3349-8664"},"institutions":[{"id":"https://openalex.org/I31590910","display_name":"Jianghan University","ror":"https://ror.org/041c9x778","country_code":"CN","type":"education","lineage":["https://openalex.org/I31590910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dengshi Li","raw_affiliation_strings":["School of Computer and Mathematics, Jianghan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Mathematics, Jianghan University, Wuhan, China","institution_ids":["https://openalex.org/I31590910"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103187204"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.5311,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.633924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9973000288009644,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9905999898910522,"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/computer-science","display_name":"Computer science","score":0.7216861248016357},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.687963604927063},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.5855807662010193},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5816857814788818},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5102026462554932},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.47333627939224243},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4408615827560425},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.4294887185096741},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4201543927192688},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3398064374923706},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.22986257076263428},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17104104161262512},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.15028363466262817},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.11853256821632385}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7216861248016357},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.687963604927063},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.5855807662010193},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5816857814788818},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5102026462554932},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.47333627939224243},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4408615827560425},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4294887185096741},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4201543927192688},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3398064374923706},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.22986257076263428},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17104104161262512},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.15028363466262817},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.11853256821632385},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/icc40277.2020.9148703","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc40277.2020.9148703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1854214752","https://openalex.org/W1967635926","https://openalex.org/W1989324514","https://openalex.org/W2046989790","https://openalex.org/W2056944867","https://openalex.org/W2092473613","https://openalex.org/W2096045023","https://openalex.org/W2107559689","https://openalex.org/W2108644943","https://openalex.org/W2110953678","https://openalex.org/W2128891547","https://openalex.org/W2133299088","https://openalex.org/W2136860272","https://openalex.org/W2149551808","https://openalex.org/W2160541537","https://openalex.org/W2475306032","https://openalex.org/W2612892203","https://openalex.org/W2804758507","https://openalex.org/W4298013486","https://openalex.org/W6639055396"],"related_works":["https://openalex.org/W4255837520","https://openalex.org/W2387011115","https://openalex.org/W4234808182","https://openalex.org/W4255628145","https://openalex.org/W2382043075","https://openalex.org/W2809151339","https://openalex.org/W2216913934","https://openalex.org/W2360673138","https://openalex.org/W2809370583","https://openalex.org/W4301447905"],"abstract_inverted_index":{"Social":[0],"influence":[1,34,58,86],"is":[2,30,81,154,177],"a":[3,24],"hot":[4],"topic":[5],"in":[6,108],"social":[7],"network":[8,100,143],"research,":[9],"and":[10,42,71,102],"this":[11,76],"paper":[12],"focuses":[13],"on":[14,64,99,126,139],"how":[15],"to":[16,31,83,129],"search":[17],"for":[18,23],"the":[19,33,43,47,51,57,65,68,72,78,85,103,113,116,131,134,146,150,158,162,167,172,185,191],"most":[20],"influential":[21],"friends":[22],"target":[25],"user.":[26],"The":[27],"key":[28],"point":[29],"measure":[32],"between":[35,60,87],"different":[36,88],"users,":[37],"such":[38],"as":[39],"adjacent":[40],"users":[41,62,89,93,107],"non-adjacent":[44,96],"users.":[45],"However,":[46],"traditional":[48],"method,":[49],"called":[50],"IS":[52,117,163,186],"model,":[53],"can":[54],"only":[55,91],"calculate":[56],"strength":[59],"neighboring":[61,92],"based":[63,98,125],"inner-product":[66],"of":[67,106,115,133,149,161,171,184],"Influence":[69],"vector":[70],"Susceptibility":[73],"vector.":[74],"In":[75,165],"paper,":[77],"social-IFD":[79,122,135,152,174],"algorithm":[80,124,153,176],"proposed":[82,151,173,192],"compute":[84],"(not":[90],"but":[94],"also":[95],"users)":[97],"structure":[101],"semantic":[104],"information":[105],"LBSN,":[109],"which":[110],"has":[111],"promoted":[112],"development":[114],"model.":[118,164,187],"Furthermore,":[119],"we":[120],"propose":[121],"++":[123,175],"dynamic":[127],"program":[128],"reduce":[130],"complexity":[132],"algorithm.":[136],"Experiment":[137],"results":[138],"two":[140,193],"real":[141],"large-scale":[142],"show":[144],"that":[145,183,190],"average":[147,159],"precision":[148,160],"30.5%":[155],"higher":[156],"than":[157,182],"addition,":[166],"CPU":[168],"running":[169],"time":[170],"nearly":[178],"ten":[179],"times":[180],"lower":[181],"It":[188],"indicates":[189],"algorithms":[194],"have":[195],"superior":[196],"performance.":[197]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
