{"id":"https://openalex.org/W2963632362","doi":"https://doi.org/10.1109/tkde.2019.2930060","title":"Statistical Inference of Diffusion Networks","display_name":"Statistical Inference of Diffusion Networks","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2963632362","doi":"https://doi.org/10.1109/tkde.2019.2930060","mag":"2963632362"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2019.2930060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2019.2930060","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://vbn.aau.dk/ws/files/402002062/Statistical_Inference_of_Diffusion_Networks.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082976295","display_name":"Hao Huang","orcid":"https://orcid.org/0000-0002-3777-1488"},"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":"Hao Huang","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018806323","display_name":"Qian Yan","orcid":"https://orcid.org/0000-0002-8866-2775"},"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":"Qian Yan","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100432099","display_name":"Lu Chen","orcid":"https://orcid.org/0000-0002-7216-7673"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Lu Chen","raw_affiliation_strings":["Department of Computer Science, Aalborg University, Aalborg, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006238145","display_name":"Yunjun Gao","orcid":"https://orcid.org/0000-0003-3816-8450"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunjun Gao","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029380368","display_name":"Christian S. Jensen","orcid":"https://orcid.org/0000-0002-9697-7670"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Christian S. Jensen","raw_affiliation_strings":["Department of Computer Science, Aalborg University, Aalborg, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2319,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.78672897,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9945999979972839,"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9695000052452087,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.7508037090301514},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.553420901298523},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.47755226492881775},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.4257889688014984},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3700246512889862},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1627512276172638},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11644655466079712}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7508037090301514},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.553420901298523},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.47755226492881775},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.4257889688014984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3700246512889862},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1627512276172638},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11644655466079712},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tkde.2019.2930060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2019.2930060","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:publications/9ad50a0c-124c-473e-b99b-b46f4d703827","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/9ad50a0c-124c-473e-b99b-b46f4d703827","pdf_url":"https://vbn.aau.dk/ws/files/402002062/Statistical_Inference_of_Diffusion_Networks.pdf","source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Huang, H, Yan, Q, Chen, L, Gao, Y & Jensen, C S 2021, 'Statistical Inference of Diffusion Networks', I E E E Transactions on Knowledge & Data Engineering, vol. 33, no. 2, 8769880, pp. 742-753. https://doi.org/10.1109/TKDE.2019.2930060","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:publications/9ad50a0c-124c-473e-b99b-b46f4d703827","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/9ad50a0c-124c-473e-b99b-b46f4d703827","pdf_url":"https://vbn.aau.dk/ws/files/402002062/Statistical_Inference_of_Diffusion_Networks.pdf","source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Huang, H, Yan, Q, Chen, L, Gao, Y & Jensen, C S 2021, 'Statistical Inference of Diffusion Networks', I E E E Transactions on Knowledge & Data Engineering, vol. 33, no. 2, 8769880, pp. 742-753. https://doi.org/10.1109/TKDE.2019.2930060","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1114054639","display_name":null,"funder_award_id":"61502347","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5047629933","display_name":null,"funder_award_id":"U1609217","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8438808684","display_name":null,"funder_award_id":"61522208","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963632362.pdf","grobid_xml":"https://content.openalex.org/works/W2963632362.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W155548076","https://openalex.org/W1511258125","https://openalex.org/W1853781474","https://openalex.org/W1984825171","https://openalex.org/W1994473607","https://openalex.org/W1996816151","https://openalex.org/W2015953751","https://openalex.org/W2023655578","https://openalex.org/W2033389579","https://openalex.org/W2036287266","https://openalex.org/W2092418988","https://openalex.org/W2095016473","https://openalex.org/W2096431153","https://openalex.org/W2099708493","https://openalex.org/W2102187991","https://openalex.org/W2104566743","https://openalex.org/W2128914432","https://openalex.org/W2131997358","https://openalex.org/W2132801025","https://openalex.org/W2140536181","https://openalex.org/W2142880609","https://openalex.org/W2154329266","https://openalex.org/W2164067128","https://openalex.org/W2164900957","https://openalex.org/W2167819026","https://openalex.org/W2182311934","https://openalex.org/W2511886175","https://openalex.org/W2536938706","https://openalex.org/W2554947047","https://openalex.org/W2596499466","https://openalex.org/W2602536546","https://openalex.org/W2611711865","https://openalex.org/W2804529731","https://openalex.org/W2949563013","https://openalex.org/W2950143436","https://openalex.org/W2963988529","https://openalex.org/W6639028698","https://openalex.org/W6674221277","https://openalex.org/W6680670352","https://openalex.org/W6681235718","https://openalex.org/W6682606780","https://openalex.org/W6686186896","https://openalex.org/W6725506249","https://openalex.org/W6729773056","https://openalex.org/W6751831418"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W137830373","https://openalex.org/W3000984192","https://openalex.org/W2103073163","https://openalex.org/W4286952477","https://openalex.org/W4321348134","https://openalex.org/W4387929287"],"abstract_inverted_index":{"To":[0,95],"infer":[1,133],"structures":[2,61,116],"in":[3,31,145],"diffusion":[4,59,120],"networks,":[5],"existing":[6],"approaches":[7],"mostly":[8],"need":[9],"to":[10,47,57,77,87,109,149,157],"know":[11],"not":[12],"only":[13,64],"the":[14,23,53,65,105,112,118,146,175,178,193],"final":[15,66,106],"infection":[16,41,67,107],"statuses":[17,68,108],"of":[18,55,69,72,75,104,114,117,137,177],"network":[19,60,125],"nodes,":[20,84],"but":[21],"also":[22],"exact":[24,40],"times":[25,42],"when":[26],"infections":[27,170,176],"occur.":[28],"In":[29],"contrast,":[30],"many":[32],"real-world":[33,188],"settings,":[34],"such":[35],"as":[36],"disease":[37],"propagation,":[38],"monitoring":[39],"is":[43,196],"often":[44],"infeasible":[45],"due":[46],"a":[48,100],"high":[49,92],"cost.":[50],"We":[51],"investigate":[52],"problem":[54],"how":[56],"learn":[58],"based":[62],"on":[63,128,184],"nodes.":[70,181],"Instead":[71],"utilizing":[73],"sequences":[74],"timestamps":[76],"determine":[78],"potential":[79,115],"parent-child":[80],"influence":[81,89],"relationships":[82,90],"between":[83],"we":[85,98,131,154],"propose":[86],"find":[88],"with":[91,174],"statistical":[93],"significance.":[94],"this":[96,129],"end,":[97],"design":[99],"probabilistic":[101],"generative":[102],"model":[103],"quantitatively":[110],"measure":[111],"likelihood":[113],"objective":[119],"network,":[121],"taking":[122],"into":[123],"account":[124],"complexity.":[126],"Based":[127],"model,":[130],"can":[132],"an":[134],"appropriate":[135],"number":[136],"most":[138],"probable":[139],"parent":[140,161],"nodes":[141,162],"for":[142],"each":[143],"node":[144],"network.":[147],"Furthermore,":[148],"reduce":[150],"redundant":[151],"inference":[152],"computations,":[153],"are":[155],"able":[156],"preclude":[158],"insignificant":[159],"candidate":[160],"from":[163],"being":[164],"considered":[165],"during":[166],"inferencing,":[167],"if":[168],"their":[169],"have":[171],"little":[172],"correlation":[173],"corresponding":[179],"child":[180],"Extensive":[182],"experiments":[183],"both":[185],"synthetic":[186],"and":[187,198],"networks":[189],"offer":[190],"evidence":[191],"that":[192],"proposed":[194],"approach":[195],"effective":[197],"efficient.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}