{"id":"https://openalex.org/W2053695737","doi":"https://doi.org/10.1145/2632048.2632063","title":"Predicting activity attendance in event-based social networks","display_name":"Predicting activity attendance in event-based social networks","publication_year":2014,"publication_date":"2014-09-13","ids":{"openalex":"https://openalex.org/W2053695737","doi":"https://doi.org/10.1145/2632048.2632063","mag":"2053695737"},"language":"en","primary_location":{"id":"doi:10.1145/2632048.2632063","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2632048.2632063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing","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/A5070314636","display_name":"Rong Du","orcid":"https://orcid.org/0000-0001-5846-4252"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rong Du","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100701166","display_name":"Zhiwen Yu","orcid":"https://orcid.org/0000-0002-9905-3238"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwen Yu","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017597537","display_name":"Tao Mei","orcid":"https://orcid.org/0000-0003-2497-7732"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]},{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Tao Mei","raw_affiliation_strings":["Microsoft Research, Beijing, China","Microsoft Research, , Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft Research, , Beijing, China","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100682838","display_name":"Zhitao Wang","orcid":"https://orcid.org/0000-0002-8552-3657"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhitao Wang","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100439571","display_name":"Zhu Wang","orcid":"https://orcid.org/0000-0003-2368-8947"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhu Wang","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078005520","display_name":"Bin Guo","orcid":"https://orcid.org/0000-0001-6097-2467"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Guo","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5070314636"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":21.3282,"has_fulltext":false,"cited_by_count":111,"citation_normalized_percentile":{"value":0.99477986,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"425","last_page":"434"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9922999739646912,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7696815729141235},{"id":"https://openalex.org/keywords/attendance","display_name":"Attendance","score":0.6791712045669556},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6145042181015015},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.601083517074585},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.5960065722465515},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5915414094924927},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5825954079627991},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.5246049165725708},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4393303394317627},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43882983922958374},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4189334511756897},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38898608088493347},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3815280497074127},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.3057991564273834},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1847403645515442},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.10545361042022705},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08134573698043823}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7696815729141235},{"id":"https://openalex.org/C2778173179","wikidata":"https://www.wikidata.org/wiki/Q25339289","display_name":"Attendance","level":2,"score":0.6791712045669556},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6145042181015015},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.601083517074585},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.5960065722465515},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5915414094924927},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5825954079627991},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.5246049165725708},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4393303394317627},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43882983922958374},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4189334511756897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38898608088493347},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3815280497074127},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.3057991564273834},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1847403645515442},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.10545361042022705},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08134573698043823},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2632048.2632063","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2632048.2632063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W7143572","https://openalex.org/W1953266353","https://openalex.org/W1987108249","https://openalex.org/W1994002853","https://openalex.org/W1995629273","https://openalex.org/W2001082470","https://openalex.org/W2009680938","https://openalex.org/W2015136191","https://openalex.org/W2018049374","https://openalex.org/W2023641631","https://openalex.org/W2025551680","https://openalex.org/W2051651925","https://openalex.org/W2054141820","https://openalex.org/W2059704947","https://openalex.org/W2064236088","https://openalex.org/W2080567541","https://openalex.org/W2085937320","https://openalex.org/W2086551658","https://openalex.org/W2097945753","https://openalex.org/W2105706822","https://openalex.org/W2108301002","https://openalex.org/W2110953678","https://openalex.org/W2117515178","https://openalex.org/W2121184547","https://openalex.org/W2127526138","https://openalex.org/W2133990480","https://openalex.org/W2139113699","https://openalex.org/W2146950091","https://openalex.org/W2149393279","https://openalex.org/W2151373442","https://openalex.org/W2155211535","https://openalex.org/W2432978112","https://openalex.org/W4232980324","https://openalex.org/W6639619044"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"The":[0],"newly":[1],"emerging":[2],"event-based":[3],"social":[4,11,36,92],"networks":[5],"(EBSNs)":[6],"connect":[7,68],"online":[8],"and":[9,71,74,89,91,99],"offline":[10],"interactions,":[12],"offering":[13],"a":[14,63,104,125,135],"great":[15],"opportunity":[16],"to":[17,43,114],"understand":[18],"behaviors":[19,33,46],"in":[20,34,47,80,128],"the":[21,69,120,148,153],"cyber-physical":[22],"space.":[23],"While":[24],"existing":[25],"efforts":[26],"have":[27],"mainly":[28],"focused":[29],"on":[30,140],"investigating":[31],"user":[32],"traditional":[35],"network":[37],"services":[38],"(SNS),":[39],"this":[40],"paper":[41],"aims":[42],"exploit":[44],"individual":[45],"EBSNs,":[48],"which":[49,129],"remains":[50],"an":[51],"unsolved":[52],"problem.":[53],"In":[54],"particular,":[55],"our":[56],"method":[57],"predicts":[58],"activity":[59,116],"attendance":[60,77,117],"by":[61,118],"discovering":[62],"set":[64],"of":[65,78],"factors":[66,123,131],"that":[67,147],"physical":[70],"cyber":[72],"spaces":[73],"influence":[75],"individual's":[76],"activities":[79],"EBSNs.":[81],"These":[82],"factors,":[83],"including":[84],"content":[85],"preference,":[86],"context":[87],"(spatial":[88],"temporal)":[90],"influence,":[93],"are":[94,132],"extracted":[95],"using":[96],"different":[97],"models":[98],"techniques.":[100],"We":[101],"further":[102],"propose":[103],"novel":[105],"Singular":[106],"Value":[107],"Decomposition":[108],"with":[109],"Multi-Factor":[110],"Neighborhood":[111],"(SVD-MFN)":[112],"algorithm":[113,151],"predict":[115],"integrating":[119],"discovered":[121],"heterogeneous":[122],"into":[124],"single":[126],"framework,":[127],"these":[130],"fused":[133],"through":[134],"neighborhood":[136],"set.":[137],"Experiments":[138],"based":[139],"real-world":[141],"data":[142],"from":[143],"Douban":[144],"Events":[145],"demonstrate":[146],"proposed":[149],"SVD-MFN":[150],"outperforms":[152],"state-of-the-art":[154],"prediction":[155],"methods.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":22},{"year":2017,"cited_by_count":16},{"year":2016,"cited_by_count":14},{"year":2015,"cited_by_count":11}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
