{"id":"https://openalex.org/W4406094151","doi":"https://doi.org/10.1109/tnse.2025.3525717","title":"Cascade Popularity Prediction: A Multi-View Learning Approach With Socialized Modeling","display_name":"Cascade Popularity Prediction: A Multi-View Learning Approach With Socialized Modeling","publication_year":2025,"publication_date":"2025-01-06","ids":{"openalex":"https://openalex.org/W4406094151","doi":"https://doi.org/10.1109/tnse.2025.3525717"},"language":"en","primary_location":{"id":"doi:10.1109/tnse.2025.3525717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2025.3525717","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/A5005761664","display_name":"Pengfei Jiao","orcid":"https://orcid.org/0000-0003-1049-1002"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Jiao","raw_affiliation_strings":["School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China","School of Cyberspace"],"raw_orcid":"https://orcid.org/0000-0003-1049-1002","affiliations":[{"raw_affiliation_string":"School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"School of Cyberspace","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101308151","display_name":"Weijian Song","orcid":"https://orcid.org/0009-0002-9240-9737"},"institutions":[{"id":"https://openalex.org/I4390039265","display_name":"PRG S&Tech (South Korea)","ror":"https://ror.org/02sr2ee22","country_code":null,"type":"company","lineage":["https://openalex.org/I4390039265"]},{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijian Song","raw_affiliation_strings":["School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China","School of Computer Science and Technology"],"raw_orcid":"https://orcid.org/0009-0002-9240-9737","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"School of Computer Science and Technology","institution_ids":["https://openalex.org/I4390039265"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuling Wang","orcid":"https://orcid.org/0000-0002-5804-9742"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuling Wang","raw_affiliation_strings":["School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China","School of Cyberspace"],"raw_orcid":"https://orcid.org/0000-0002-5804-9742","affiliations":[{"raw_affiliation_string":"School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"School of Cyberspace","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100329305","display_name":"Wang Zhang","orcid":"https://orcid.org/0000-0001-7921-9010"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Zhang","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-7921-9010","affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018856770","display_name":"Hongqian Chen","orcid":"https://orcid.org/0000-0003-2065-8144"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongqian Chen","raw_affiliation_strings":["School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China","School of Cyberspace"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"School of Cyberspace","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070218627","display_name":"Zhidong Zhao","orcid":"https://orcid.org/0000-0001-6659-3732"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhidong Zhao","raw_affiliation_strings":["School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China","School of Cyberspace"],"raw_orcid":"https://orcid.org/0000-0001-6659-3732","affiliations":[{"raw_affiliation_string":"School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"School of Cyberspace","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101499868","display_name":"Jian Wu","orcid":"https://orcid.org/0000-0001-6094-9056"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Wu","raw_affiliation_strings":["School of Management, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":22.9091,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.99127714,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"12","issue":"2","first_page":"1198","last_page":"1209"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.9053999781608582,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.9053999781608582,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.7161659002304077},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6501376032829285},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.5325464606285095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4695834517478943},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42111143469810486},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1300833523273468},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12795940041542053}],"concepts":[{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.7161659002304077},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6501376032829285},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.5325464606285095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4695834517478943},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42111143469810486},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1300833523273468},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12795940041542053},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnse.2025.3525717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2025.3525717","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":[],"awards":[{"id":"https://openalex.org/G5457408167","display_name":null,"funder_award_id":"62372146","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"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":49,"referenced_works":["https://openalex.org/W184915860","https://openalex.org/W1556758605","https://openalex.org/W1590597995","https://openalex.org/W1967579779","https://openalex.org/W1996263819","https://openalex.org/W2007086802","https://openalex.org/W2013640190","https://openalex.org/W2022322548","https://openalex.org/W2037970810","https://openalex.org/W2080290417","https://openalex.org/W2103126699","https://openalex.org/W2127267264","https://openalex.org/W2170872804","https://openalex.org/W2250844151","https://openalex.org/W2344286452","https://openalex.org/W2462343760","https://openalex.org/W2510535358","https://openalex.org/W2742144412","https://openalex.org/W2767220239","https://openalex.org/W2792234394","https://openalex.org/W2902271319","https://openalex.org/W2921701073","https://openalex.org/W2949377321","https://openalex.org/W2951851909","https://openalex.org/W2952395191","https://openalex.org/W2963608065","https://openalex.org/W3001111845","https://openalex.org/W3028571922","https://openalex.org/W3035524453","https://openalex.org/W3090831139","https://openalex.org/W3125952634","https://openalex.org/W3212331806","https://openalex.org/W4210764005","https://openalex.org/W4212805283","https://openalex.org/W4223948957","https://openalex.org/W4289551731","https://openalex.org/W4393156497","https://openalex.org/W4402508445","https://openalex.org/W6640212811","https://openalex.org/W6677721409","https://openalex.org/W6714003741","https://openalex.org/W6726873649","https://openalex.org/W6730323794","https://openalex.org/W6738964360","https://openalex.org/W6763416564","https://openalex.org/W6777179611","https://openalex.org/W6779977557","https://openalex.org/W6784694379","https://openalex.org/W6850420370"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Predicting":[0],"the":[1,25,39,44,52,56,69,134,140],"popularity":[2,14,61,92,135],"of":[3,15,47,55,98,136,142],"information":[4,110,117,156],"in":[5,181],"social":[6,40,57,87,105,119,144],"networks":[7,131],"poses":[8],"a":[9,16,64,73,104,148],"highly":[10],"challenging":[11],"problem.":[12],"The":[13,94],"message":[17,48],"is":[18,33],"contingent":[19],"upon":[20],"its":[21],"diffusion":[22],"process":[23,46],"and":[24,32,50,86,111,123,167],"relationships":[26],"it":[27,169],"maintains":[28],"with":[29,170],"other":[30],"cascades":[31],"influenced":[34],"by":[35,107],"user":[36,109],"behaviour":[37],"within":[38],"network.":[41],"Effectively":[42],"capturing":[43],"dynamic":[45],"propagation":[49],"integrating":[51],"structural":[53],"features":[54],"network":[58],"to":[59,89,132],"enhance":[60],"prediction":[62],"constitutes":[63],"pivotal":[65],"challenge.":[66],"To":[67,138],"address":[68],"challenge,":[70],"we":[71,102,115,127,146],"propose":[72],"novel":[74,149],"method":[75,96,163],"called":[76],"\u201c":[77],"Cascade":[78],"Social":[79],"Net\u201d":[80],"(CSN)":[81],"that":[82,153,176],"leverages":[83],"cascade":[84,91,121,183],"graphs":[85,88,122],"predict":[90,133],"accurately.":[93],"proposed":[95],"consists":[97],"three":[99],"stages.":[100],"Firstly,":[101],"construct":[103],"graph":[106,129],"collecting":[108],"their":[112],"connections.":[113],"Secondly,":[114],"integrate":[116],"from":[118,157],"graphs,":[120,145],"inter-cascade":[124],"graphs.":[125],"Finally,":[126],"leverage":[128],"neural":[130],"cascades.":[137],"overcome":[139],"challenge":[141],"large-scale":[143],"introduce":[147],"neighbour":[150],"sampling":[151],"technique":[152],"efficiently":[154],"aggregates":[155],"second-order":[158],"neighbours.":[159],"We":[160],"evaluate":[161],"our":[162],"on":[164],"real-world":[165],"datasets":[166],"compare":[168],"state-of-the-art":[171],"methods.":[172],"Our":[173],"results":[174],"demonstrate":[175],"CSN":[177],"outperforms":[178],"existing":[179],"methods":[180],"predicting":[182],"popularity.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}