{"id":"https://openalex.org/W2802135473","doi":"https://doi.org/10.1109/tsmc.2018.2811410","title":"Maximum <i>a Posteriori</i> Estimation for Information Source Detection","display_name":"Maximum <i>a Posteriori</i> Estimation for Information Source Detection","publication_year":2018,"publication_date":"2018-05-02","ids":{"openalex":"https://openalex.org/W2802135473","doi":"https://doi.org/10.1109/tsmc.2018.2811410","mag":"2802135473"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2018.2811410","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2018.2811410","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"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 Systems, Man, and Cybernetics: Systems","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/A5011825075","display_name":"Biao Chang","orcid":"https://orcid.org/0000-0002-5181-2397"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biao Chang","raw_affiliation_strings":["Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-5181-2397","affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048237545","display_name":"Enhong Chen","orcid":"https://orcid.org/0000-0002-4835-4102"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enhong Chen","raw_affiliation_strings":["Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-4835-4102","affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003692270","display_name":"Feida Zhu","orcid":"https://orcid.org/0000-0001-6077-4356"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Feida Zhu","raw_affiliation_strings":["School of Information Systems, Singapore Management University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Systems, Singapore Management University, Singapore","institution_ids":["https://openalex.org/I79891267"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453156","display_name":"Qi Liu","orcid":"https://orcid.org/0000-0001-6956-5550"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Liu","raw_affiliation_strings":["Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-6956-5550","affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101570536","display_name":"Tong Xu","orcid":"https://orcid.org/0000-0001-5564-192X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Xu","raw_affiliation_strings":["Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-5564-192X","affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065838678","display_name":"Zhefeng Wang","orcid":"https://orcid.org/0000-0001-6703-2064"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhefeng Wang","raw_affiliation_strings":["Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-6703-2064","affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1757,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.7778624,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"50","issue":"6","first_page":"2242","last_page":"2256"},"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":0.996399998664856,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9778000116348267,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/computer-science","display_name":"Computer science","score":0.6496281027793884},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6277876496315002},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.564158022403717},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.5415605902671814},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.46034908294677734},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.424976110458374},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4207058250904083},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.41480880975723267},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37871599197387695},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3391437530517578},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2917194664478302},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.28404974937438965},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18753090500831604}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6496281027793884},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6277876496315002},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.564158022403717},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.5415605902671814},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.46034908294677734},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.424976110458374},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4207058250904083},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.41480880975723267},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37871599197387695},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3391437530517578},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2917194664478302},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.28404974937438965},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18753090500831604},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsmc.2018.2811410","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2018.2811410","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"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 Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.800000011920929}],"awards":[{"id":"https://openalex.org/G1869028341","display_name":null,"funder_award_id":"61703386","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5007750573","display_name":null,"funder_award_id":"U1605251","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7815993335","display_name":"\u9762\u5411\u5728\u7ebf\u6559\u80b2\u8003\u8bd5\u8bc4\u4f30\u7684\u6570\u636e\u6316\u6398\u6280\u672f\u7814\u7a76\u4e0e\u5e94\u7528","funder_award_id":"61672483","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G787251400","display_name":null,"funder_award_id":"1708085QF140","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null},{"id":"https://openalex.org/F4320335353","display_name":"National Science Foundation of Sri Lanka","ror":"https://ror.org/010xaa060"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W118616697","https://openalex.org/W1495750374","https://openalex.org/W1663973292","https://openalex.org/W1774848501","https://openalex.org/W1963907682","https://openalex.org/W1966006953","https://openalex.org/W1972094496","https://openalex.org/W1974243612","https://openalex.org/W1986943339","https://openalex.org/W2008620264","https://openalex.org/W2011014734","https://openalex.org/W2023230299","https://openalex.org/W2024814977","https://openalex.org/W2027135291","https://openalex.org/W2041157860","https://openalex.org/W2043416368","https://openalex.org/W2054558630","https://openalex.org/W2061820396","https://openalex.org/W2073415627","https://openalex.org/W2073926352","https://openalex.org/W2078327425","https://openalex.org/W2095006675","https://openalex.org/W2097074542","https://openalex.org/W2103126699","https://openalex.org/W2108614537","https://openalex.org/W2110227539","https://openalex.org/W2111772797","https://openalex.org/W2112090702","https://openalex.org/W2130466555","https://openalex.org/W2132881168","https://openalex.org/W2144301074","https://openalex.org/W2147318892","https://openalex.org/W2150105124","https://openalex.org/W2243284481","https://openalex.org/W2245278854","https://openalex.org/W2266724080","https://openalex.org/W2293616274","https://openalex.org/W2319805406","https://openalex.org/W2320448585","https://openalex.org/W2320859605","https://openalex.org/W2419259460","https://openalex.org/W2479032158","https://openalex.org/W2507189310","https://openalex.org/W2508714648","https://openalex.org/W2528831902","https://openalex.org/W2561206449","https://openalex.org/W2588703756","https://openalex.org/W2594639291","https://openalex.org/W2602756700","https://openalex.org/W2605489464","https://openalex.org/W2755088640","https://openalex.org/W2757544304","https://openalex.org/W2963385671","https://openalex.org/W3023194939","https://openalex.org/W3098803621","https://openalex.org/W3105268966","https://openalex.org/W3105272691","https://openalex.org/W6641119868","https://openalex.org/W6643380523","https://openalex.org/W6672862109","https://openalex.org/W6696935024"],"related_works":["https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W2150865841","https://openalex.org/W2138865713","https://openalex.org/W2169353922"],"abstract_inverted_index":{"Information":[0],"source":[1,27,31,86,105,255],"detection":[2,87],"is":[3],"to":[4,60,101,136,185,190,203],"identify":[5],"nodes":[6,131,224],"initiating":[7],"the":[8,72,103,110,138,145,157,178,187,193,210,215,229,245,252],"diffusion":[9,65],"process":[10],"in":[11,33,45,88,259],"a":[12,16,69,80,95,97,198,205],"network,":[13],"which":[14,112],"has":[15,38],"wide":[17],"range":[18],"of":[19,63,71,148,180,200,209,217,247],"applications":[20],"including":[21],"epidemic":[22],"outbreak":[23],"prevention,":[24],"Internet":[25],"virus":[26],"identification,":[28],"and":[29,56,66,132,142,171,212,225],"rumor":[30],"tracing":[32],"social":[34],"networks.":[35],"Although":[36],"it":[37],"attracted":[39],"ever-increasing":[40],"attention":[41],"from":[42,52,123,177],"research":[43],"community":[44],"recent":[46],"years,":[47],"existing":[48],"solutions":[49],"still":[50],"suffer":[51],"high":[53,61],"time":[54],"complexity":[55,231],"inadequate":[57],"effectiveness,":[58],"due":[59],"dynamics":[62],"information":[64,85,104,254],"observing":[67],"just":[68],"snapshot":[70],"whole":[73],"process.":[74],"To":[75,154],"this":[76],"end,":[77],"we":[78,92,127,159],"present":[79],"comprehensive":[81],"study":[82],"for":[83,150,233],"single":[84,253],"weighted":[89,152,260],"graphs.":[90,153,235,261],"Specifically,":[91],"first":[93],"propose":[94],"maximum":[96],"posteriori":[98],"(MAP)":[99],"estimator":[100],"detect":[102],"with":[106,119,222,256],"other":[107],"methods":[108,249],"as":[109],"prior,":[111],"ensures":[113],"our":[114,248],"method":[115],"can":[116],"be":[117],"integrated":[118],"others":[120],"naturally.":[121],"Different":[122],"many":[124],"related":[125],"works,":[126],"exploit":[128],"both":[129],"infected":[130],"their":[133],"uninfected":[134],"neighbors":[135],"calculate":[137],"effective":[139],"propagation":[140],"probability,":[141],"then":[143],"derive":[144],"exact":[146],"formation":[147],"likelihood":[149,181,226],"general":[151],"further":[155],"improve":[156],"efficiency,":[158],"design":[160],"two":[161],"approximate":[162],"MAP":[163],"estimators,":[164],"namely":[165],"brute":[166],"force":[167],"search":[168,173,202],"approximation":[169,175,227],"(BFSA)":[170],"greedy":[172,201],"bound":[174,208],"(GSBA),":[176],"perspective":[179],"approximation.":[182],"BFSA":[183],"tries":[184],"traverse":[186],"permitted":[188,218],"permutations":[189],"directly":[191],"compute":[192],"likelihood,":[194,211],"but":[195],"GSBA":[196],"exploits":[197],"strategy":[199],"find":[204],"surrogate":[206],"upper":[207],"thus":[213],"avoids":[214],"enumeration":[216],"permutations.":[219],"Therefore,":[220],"detecting":[221,251],"partial":[223],"reduces":[228],"computational":[230],"drastically":[232],"large":[234],"Extensive":[236],"experiments":[237],"on":[238,250],"several":[239],"data":[240],"sets":[241],"also":[242],"clearly":[243],"demonstrate":[244],"effectiveness":[246],"different":[257],"settings":[258]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}