{"id":"https://openalex.org/W4377989179","doi":"https://doi.org/10.1145/3599237","title":"<i>Notice of Removal March 3, 2026:</i> Joint Inference of Diffusion and Structure in Partially Observed Social Networks Using Coupled Matrix Factorization","display_name":"<i>Notice of Removal March 3, 2026:</i> Joint Inference of Diffusion and Structure in Partially Observed Social Networks Using Coupled Matrix Factorization","publication_year":2023,"publication_date":"2023-05-24","ids":{"openalex":"https://openalex.org/W4377989179","doi":"https://doi.org/10.1145/3599237"},"language":"en","primary_location":{"id":"doi:10.1145/3599237","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3599237","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","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/A5101820168","display_name":"Maryam Ramezani","orcid":"https://orcid.org/0000-0001-5044-2526"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Maryam Ramezani","raw_affiliation_strings":["Department of Computer Engineering, Sharif University of Technology, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Sharif University of Technology, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044549285","display_name":"Aryan Ahadinia","orcid":"https://orcid.org/0009-0006-1768-5511"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Aryan Ahadinia","raw_affiliation_strings":["Department of Computer Engineering, Sharif University of Technology, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Sharif University of Technology, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092010876","display_name":"Amirmohammad Ziaei Bideh","orcid":"https://orcid.org/0000-0003-2604-6982"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Amirmohammad Ziaei Bideh","raw_affiliation_strings":["Department of Computer Engineering, Sharif University of Technology, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Sharif University of Technology, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063512925","display_name":"Hamid R. Rabiee","orcid":"https://orcid.org/0000-0002-9835-4493"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Hamid R. Rabiee","raw_affiliation_strings":["Department of Computer Engineering, Sharif University of Technology, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Sharif University of Technology, Iran","institution_ids":["https://openalex.org/I133529467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101820168"],"corresponding_institution_ids":["https://openalex.org/I133529467"],"apc_list":null,"apc_paid":null,"fwci":0.8231,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69263199,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"17","issue":"9","first_page":"1","last_page":"28"},"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9994000196456909,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/inference","display_name":"Inference","score":0.742490828037262},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.625227153301239},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.5850080847740173},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.46615514159202576},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.45310115814208984},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.44130122661590576},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.423983633518219},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.4178021550178528},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4069347083568573},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.3712695240974426},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35584837198257446},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2914072275161743},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19835638999938965},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.11106434464454651},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08737659454345703},{"id":"https://openalex.org/keywords/thermodynamics","display_name":"Thermodynamics","score":0.06062448024749756}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.742490828037262},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.625227153301239},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.5850080847740173},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.46615514159202576},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.45310115814208984},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.44130122661590576},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.423983633518219},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.4178021550178528},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4069347083568573},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.3712695240974426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35584837198257446},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2914072275161743},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19835638999938965},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.11106434464454651},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08737659454345703},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.06062448024749756},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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:10.1145/3599237","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3599237","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W34646664","https://openalex.org/W560666591","https://openalex.org/W1558712742","https://openalex.org/W1595449516","https://openalex.org/W1856548066","https://openalex.org/W1966075400","https://openalex.org/W2017099446","https://openalex.org/W2023655578","https://openalex.org/W2070645266","https://openalex.org/W2078939860","https://openalex.org/W2099878672","https://openalex.org/W2109553965","https://openalex.org/W2125298866","https://openalex.org/W2127492100","https://openalex.org/W2128914432","https://openalex.org/W2136284997","https://openalex.org/W2142281120","https://openalex.org/W2154454189","https://openalex.org/W2166330262","https://openalex.org/W2168722292","https://openalex.org/W2187089797","https://openalex.org/W2253809915","https://openalex.org/W2263288921","https://openalex.org/W2281694839","https://openalex.org/W2403959208","https://openalex.org/W2429302915","https://openalex.org/W2550937221","https://openalex.org/W2557098743","https://openalex.org/W2569283211","https://openalex.org/W2740189214","https://openalex.org/W2787640683","https://openalex.org/W2808028840","https://openalex.org/W2883211277","https://openalex.org/W2904238011","https://openalex.org/W2905254322","https://openalex.org/W2907927214","https://openalex.org/W2914088024","https://openalex.org/W2962735465","https://openalex.org/W2963066037","https://openalex.org/W2963493749","https://openalex.org/W2964023767","https://openalex.org/W3092437298","https://openalex.org/W3100984977","https://openalex.org/W3104330980","https://openalex.org/W3112682385","https://openalex.org/W3133932448","https://openalex.org/W3155747292","https://openalex.org/W4200534804","https://openalex.org/W4206822493","https://openalex.org/W4226315598","https://openalex.org/W4226460857","https://openalex.org/W4281653831","https://openalex.org/W4283730771","https://openalex.org/W4283807147","https://openalex.org/W4306316919"],"related_works":["https://openalex.org/W2127243424","https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2539013788","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031","https://openalex.org/W2075222291"],"abstract_inverted_index":{"Access":[0],"to":[1,50,55,75],"complete":[2],"data":[3,15,59,74,143],"in":[4,22,111,135],"large-scale":[5],"networks":[6,41,151],"is":[7,16,54,69],"often":[8],"infeasible.":[9],"Therefore,":[10],"the":[11,23,34,57,112,168],"problem":[12,53],"of":[13,27,33,39,104],"missing":[14,58,142],"a":[17,61,67,94],"crucial":[18],"and":[19,25,79,88,106,152,157,163,178],"unavoidable":[20],"issue":[21],"analysis":[24],"modeling":[26],"real-world":[28,164],"social":[29,40,174],"networks.":[30,81],"However,":[31],"most":[32],"research":[35],"on":[36,145,160],"different":[37,141],"aspects":[38],"does":[42],"not":[43],"consider":[44],"this":[45,52,65],"limitation.":[46],"One":[47],"effective":[48],"way":[49],"solve":[51],"recover":[56],"as":[60,129],"pre-processing":[62],"step.":[63],"In":[64],"paper,":[66],"model":[68,97],"learned":[70],"from":[71],"partially":[72],"observed":[73],"infer":[76],"unobserved":[77],"diffusion":[78,86],"structure":[80],"To":[82],"jointly":[83],"discover":[84],"omitted":[85],"activities":[87],"hidden":[89],"network":[90,136],"structures,":[91],"we":[92],"develop":[93],"probabilistic":[95],"generative":[96],"called":[98],"\u201cDiffStru.\u201d":[99],"The":[100],"interrelations":[101],"among":[102],"links":[103],"nodes":[105],"cascade":[107],"processes":[108],"are":[109],"utilized":[110],"proposed":[113,169],"method":[114,170],"via":[115],"learning":[116],"coupled":[117],"with":[118],"low-dimensional":[119],"latent":[120,126,180],"factors.":[121],"Besides":[122],"inferring":[123],"unseen":[124],"data,":[125],"factors":[127],"such":[128],"community":[130],"detection":[131],"may":[132],"also":[133],"aid":[134],"classification":[137],"problems.":[138],"We":[139],"tested":[140],"scenarios":[144],"simulated":[146],"independent":[147],"cascades":[148],"over":[149],"LFR":[150],"real":[153],"datasets,":[154],"including":[155],"Twitter":[156],"Memetracker.":[158],"Experiments":[159],"these":[161],"synthetic":[162],"datasets":[165],"show":[166],"that":[167],"successfully":[171],"detects":[172],"invisible":[173],"behaviors,":[175],"predicts":[176],"links,":[177],"identifies":[179],"features.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}