{"id":"https://openalex.org/W4367046817","doi":"https://doi.org/10.1145/3543507.3583231","title":"Pairwise-interactions-based Bayesian Inference of Network Structure from Information Cascades","display_name":"Pairwise-interactions-based Bayesian Inference of Network Structure from Information Cascades","publication_year":2023,"publication_date":"2023-04-26","ids":{"openalex":"https://openalex.org/W4367046817","doi":"https://doi.org/10.1145/3543507.3583231"},"language":"en","primary_location":{"id":"doi:10.1145/3543507.3583231","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3543507.3583231","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3543507.3583231","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2023","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3543507.3583231","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086236078","display_name":"Chao Gao","orcid":"https://orcid.org/0000-0002-5865-2285"},"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":"Chao Gao","raw_affiliation_strings":["School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, China"],"raw_orcid":"https://orcid.org/0000-0002-5865-2285","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089387181","display_name":"Yuchen Wang","orcid":"https://orcid.org/0000-0002-4205-4192"},"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":"Yuchen Wang","raw_affiliation_strings":["Northwestern Polytechnical University, China"],"raw_orcid":"https://orcid.org/0000-0002-4205-4192","affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422377","display_name":"Zhen Wang","orcid":"https://orcid.org/0000-0002-8182-2852"},"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":"Zhen Wang","raw_affiliation_strings":["Northwestern Polytechnical University, China"],"raw_orcid":"https://orcid.org/0000-0002-8182-2852","affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100680344","display_name":"Xianghua Li","orcid":"https://orcid.org/0000-0003-0253-3882"},"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":"Xianghua Li","raw_affiliation_strings":["Northwestern Polytechnical University, China"],"raw_orcid":"https://orcid.org/0000-0003-0253-3882","affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106943753","display_name":"Xuelong Li","orcid":"https://orcid.org/0000-0003-2924-946X"},"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":"Xuelong Li","raw_affiliation_strings":["Northwestern Polytechnical University, China"],"raw_orcid":"https://orcid.org/0000-0003-2924-946X","affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":3.5226,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.93169657,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"102","last_page":"110"},"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":0.9988999962806702,"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/T13283","display_name":"Mental Health Research Topics","score":0.9768000245094299,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.8670611381530762},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.8005626201629639},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7128117680549622},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6044976711273193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5383120775222778},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5214673280715942},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4733985662460327},{"id":"https://openalex.org/keywords/dynamic-bayesian-network","display_name":"Dynamic Bayesian network","score":0.46662983298301697},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.45401233434677124},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.44977399706840515},{"id":"https://openalex.org/keywords/network-structure","display_name":"Network structure","score":0.4297838807106018},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42225638031959534},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.41143277287483215},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0731307864189148}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.8670611381530762},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.8005626201629639},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7128117680549622},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6044976711273193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5383120775222778},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5214673280715942},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4733985662460327},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.46662983298301697},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.45401233434677124},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.44977399706840515},{"id":"https://openalex.org/C2988224531","wikidata":"https://www.wikidata.org/wiki/Q20830730","display_name":"Network structure","level":2,"score":0.4297838807106018},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42225638031959534},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.41143277287483215},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0731307864189148},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3543507.3583231","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3543507.3583231","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3543507.3583231","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2023","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3543507.3583231","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3543507.3583231","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3543507.3583231","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2023","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G192882225","display_name":null,"funder_award_id":"U22B2036","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2392277617","display_name":null,"funder_award_id":"U22A 2098","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2703680814","display_name":null,"funder_award_id":"62261136549","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G437724830","display_name":null,"funder_award_id":"2022YFE0112300","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4668225214","display_name":null,"funder_award_id":"62025602","funder_id":"https://openalex.org/F4320336125","funder_display_name":"National Science Fund for Distinguished Young Scholars"},{"id":"https://openalex.org/G5518866307","display_name":null,"funder_award_id":"62271411","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5677026016","display_name":null,"funder_award_id":"2020TD-013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G714647208","display_name":null,"funder_award_id":"62025602","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7864882641","display_name":null,"funder_award_id":"62261136549","funder_id":"https://openalex.org/F4320336125","funder_display_name":"National Science Fund for Distinguished Young Scholars"},{"id":"https://openalex.org/G8164477345","display_name":"\u6570\u636e\u9a71\u52a8\u7684\u793e\u4ea4\u7f51\u7edc\u4f20\u64ad\u63a7\u5236\u5173\u952e\u7406\u8bba\u4e0e\u6280\u672f\u7814\u7a76","funder_award_id":"61976181","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8267428600","display_name":null,"funder_award_id":"61976181, 62261136549, 62271411, U22A2098, U22B2036","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320316083","display_name":"Tencent","ror":"https://ror.org/00hhjss72"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336125","display_name":"National Science Fund for Distinguished Young Scholars","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4367046817.pdf","grobid_xml":"https://content.openalex.org/works/W4367046817.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W171462922","https://openalex.org/W1972309850","https://openalex.org/W2061820396","https://openalex.org/W2105129830","https://openalex.org/W2128914432","https://openalex.org/W2134435043","https://openalex.org/W2145622908","https://openalex.org/W2167819026","https://openalex.org/W2172067437","https://openalex.org/W2469279958","https://openalex.org/W2547263067","https://openalex.org/W2594683657","https://openalex.org/W2789532392","https://openalex.org/W2910005594","https://openalex.org/W2963571589","https://openalex.org/W3021723224","https://openalex.org/W3021881484","https://openalex.org/W3083269213","https://openalex.org/W3123386325","https://openalex.org/W3134536990","https://openalex.org/W3195386810"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2793211469","https://openalex.org/W2578973671","https://openalex.org/W2215058820","https://openalex.org/W2097663773","https://openalex.org/W1602184117","https://openalex.org/W2413421635","https://openalex.org/W2511198839","https://openalex.org/W1966557338","https://openalex.org/W2366931106"],"abstract_inverted_index":{"An":[0],"explicit":[1],"network":[2,25,34,70],"structure":[3,35],"plays":[4],"an":[5,23],"important":[6],"role":[7],"when":[8],"analyzing":[9],"and":[10,92,121],"understanding":[11],"diffusion":[12,69],"processes.":[13],"In":[14,102],"many":[15,29],"scenarios,":[16],"however,":[17],"the":[18,46,67,82,96,115],"interactions":[19,50],"between":[20,48],"nodes":[21],"in":[22,51,89],"underlying":[24,68],"are":[26],"unavailable.":[27],"Although":[28],"methods":[30],"for":[31,109],"inferring":[32],"a":[33,52,58,99,104],"from":[36],"observed":[37],"cascades":[38,91],"have":[39],"been":[40],"proposed,":[41],"they":[42],"did":[43],"not":[44],"perceive":[45],"relationship":[47],"pairwise":[49,87],"cascade.":[53],"Therefore,":[54],"this":[55],"paper":[56],"proposes":[57],"Pairwise-interactions-based":[59],"Bayesian":[60],"Inference":[61],"method":[62],"(named":[63],"PBI)":[64],"to":[65,74,95,112],"infer":[66],"structure.":[71],"More":[72],"specifically,":[73],"get":[75],"more":[76],"accurate":[77],"inference":[78,116],"results,":[79],"we":[80],"measure":[81],"weights":[83],"of":[84,98],"each":[85],"candidate":[86,110],"interaction":[88],"different":[90],"add":[93],"them":[94],"likelihood":[97],"contagion":[100],"process.":[101],"addition,":[103],"pre-pruning":[105],"work":[106],"is":[107],"introduced":[108],"edges":[111],"further":[113],"improve":[114],"efficiency.":[117],"Experiments":[118],"on":[119],"synthetic":[120],"real-world":[122],"networks":[123],"show":[124],"that":[125],"PBI":[126],"achieves":[127],"significantly":[128],"better":[129],"results.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}