{"id":"https://openalex.org/W2946071220","doi":"https://doi.org/10.1109/tnse.2019.2916893","title":"On New Group Popularity Prediction in Event-Based Social Networks","display_name":"On New Group Popularity Prediction in Event-Based Social Networks","publication_year":2019,"publication_date":"2019-05-14","ids":{"openalex":"https://openalex.org/W2946071220","doi":"https://doi.org/10.1109/tnse.2019.2916893","mag":"2946071220"},"language":"en","primary_location":{"id":"doi:10.1109/tnse.2019.2916893","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2019.2916893","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network Science and Engineering","raw_type":"journal-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/A5101947926","display_name":"Guangyu Li","orcid":"https://orcid.org/0000-0002-8054-1696"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guangyu Li","raw_affiliation_strings":["Department of Electrical and Computer Engineering, New York University, New York, USA"],"raw_orcid":"https://orcid.org/0000-0002-8054-1696","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, New York University, New York, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100724297","display_name":"Yong Liu","orcid":"https://orcid.org/0000-0003-4822-8939"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yong Liu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, New York University, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, New York University, New York, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035917702","display_name":"Bruno Ribeiro","orcid":"https://orcid.org/0000-0002-3527-6192"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bruno Ribeiro","raw_affiliation_strings":["Department of Computer Science, Purdue University, West Lafayette, USA"],"raw_orcid":"https://orcid.org/0000-0002-3527-6192","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Purdue University, West Lafayette, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103245390","display_name":"Hao Ding","orcid":"https://orcid.org/0000-0001-5390-1265"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao Ding","raw_affiliation_strings":["Oath Inc., New York, USA"],"raw_orcid":"https://orcid.org/0000-0001-5390-1265","affiliations":[{"raw_affiliation_string":"Oath Inc., New York, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9719,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.74940297,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"7","issue":"3","first_page":"1239","last_page":"1250"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11478","display_name":"Caching and Content Delivery","score":0.9943000078201294,"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/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9925000071525574,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.9752764701843262},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6775325536727905},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.619735836982727},{"id":"https://openalex.org/keywords/complement","display_name":"Complement (music)","score":0.6135531663894653},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5611953139305115},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.5136139392852783},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.512295126914978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49249395728111267},{"id":"https://openalex.org/keywords/social-group","display_name":"Social group","score":0.47373640537261963},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4611935615539551},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4380284547805786},{"id":"https://openalex.org/keywords/social-network-analysis","display_name":"Social network analysis","score":0.42312395572662354},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.41669929027557373},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3590959310531616},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.27819550037384033},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14530819654464722},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.10291746258735657},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.09115821123123169}],"concepts":[{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.9752764701843262},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6775325536727905},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.619735836982727},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.6135531663894653},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5611953139305115},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.5136139392852783},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.512295126914978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49249395728111267},{"id":"https://openalex.org/C180872759","wikidata":"https://www.wikidata.org/wiki/Q874405","display_name":"Social group","level":2,"score":0.47373640537261963},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4611935615539551},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4380284547805786},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.42312395572662354},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.41669929027557373},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3590959310531616},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.27819550037384033},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14530819654464722},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.10291746258735657},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.09115821123123169},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C188082640","wikidata":"https://www.wikidata.org/wiki/Q1780899","display_name":"Complementation","level":4,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"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/tnse.2019.2916893","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2019.2916893","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.550000011920929,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1973987653","https://openalex.org/W1988037271","https://openalex.org/W1989341178","https://openalex.org/W2021969955","https://openalex.org/W2057032692","https://openalex.org/W2057685268","https://openalex.org/W2095207093","https://openalex.org/W2127526138","https://openalex.org/W2134280081","https://openalex.org/W2135029798","https://openalex.org/W2149814409","https://openalex.org/W2154851992","https://openalex.org/W2295606206","https://openalex.org/W2389589064","https://openalex.org/W2536523688","https://openalex.org/W2556910061","https://openalex.org/W2584387737","https://openalex.org/W2607500032","https://openalex.org/W2622150860","https://openalex.org/W2743104969","https://openalex.org/W2811501504","https://openalex.org/W2946071220","https://openalex.org/W2962756421","https://openalex.org/W2964113829","https://openalex.org/W3101290021","https://openalex.org/W3104097132","https://openalex.org/W4250179882","https://openalex.org/W6680012447","https://openalex.org/W6685350579"],"related_works":["https://openalex.org/W2030628044","https://openalex.org/W2952662149","https://openalex.org/W2793616590","https://openalex.org/W2183090405","https://openalex.org/W2075666982","https://openalex.org/W2065835655","https://openalex.org/W3160699245","https://openalex.org/W2782955270","https://openalex.org/W2349928170","https://openalex.org/W2142177036"],"abstract_inverted_index":{"Event-based":[0],"social":[1,13,22,26,29,150],"networks":[2,23],"(EBSN)":[3],"have":[4],"recently":[5],"emerged":[6],"as":[7,121,130,132,141],"an":[8],"important":[9,59],"complement":[10],"to":[11,60,84,104,118,137,176],"online":[12,21],"networks.":[14],"They":[15],"enjoy":[16],"the":[17,44,61,67,79,106,133,142,158,163,179,214],"advantages":[18],"of":[19,64,108,125,162,169,197],"both":[20],"and":[24,36,55,78,123,149,190],"offline":[25,28,46],"communities:":[27],"events":[30,126,173],"can":[31],"be":[32],"conveniently":[33],"organized":[34,45],"online,":[35],"users":[37],"interact":[38],"with":[39],"each":[40],"other":[41],"face-to-face":[42],"in":[43,66,127,146,167,213],"events.":[47],"Although":[48],"previous":[49],"work":[50],"has":[51],"shown":[52],"that":[53,193],"member":[54,76,144,189],"structural":[56,134],"features":[57,116,135],"are":[58,194],"future":[62,172,200],"popularity":[63,107,164],"groups":[65],"EBSN,":[68],"it":[69],"is":[70],"not":[71],"yet":[72],"clear":[73],"how":[74],"different":[75],"roles":[77,145],"interplay":[80],"between":[81],"them":[82],"contribute":[83],"group":[85,148,211],"popularity.":[86,201],"In":[87],"this":[88],"paper,":[89],"we":[90],"study":[91,203],"a":[92,101,128,138,147,170,198,210],"real-world":[93],"dataset":[94],"from":[95],"Meetup-a":[96],"popular":[97],"EBSN":[98],"platform-and":[99],"propose":[100],"deep-neural-network-based":[102],"method":[103,113,186],"predict":[105],"new":[109,205],"Meetup":[110],"groups.":[111],"Our":[112,202],"uses":[114],"group-level":[115],"specific":[117],"EBSNs,":[119],"such":[120,140],"time":[122],"location":[124],"group,":[129,139],"well":[131],"internal":[136],"inferred":[143],"substructures":[151],"among":[152],"members.":[153],"Empirically,":[154],"our":[155,185],"approach":[156],"reduces":[157],"normalized":[159],"root-mean-squared":[160],"error":[161],"prediction":[165],"(measured":[166],"RSVPs)":[168],"group's":[171,199],"by":[174],"up":[175],"12%,":[177],"against":[178],"state-of-the-art":[180],"baselines.":[181],"Through":[182],"case":[183],"studies,":[184],"also":[187],"identifies":[188],"structure":[191],"patterns":[192],"most":[195],"predictive":[196],"provides":[204],"understanding":[206],"about":[207],"what":[208],"makes":[209],"successful":[212],"EBSN.":[215]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}