{"id":"https://openalex.org/W4213443911","doi":"https://doi.org/10.1109/jstsp.2022.3153168","title":"Epidemic Source Detection in Contact Tracing Networks: Epidemic Centrality in Graphs and Message-Passing Algorithms","display_name":"Epidemic Source Detection in Contact Tracing Networks: Epidemic Centrality in Graphs and Message-Passing Algorithms","publication_year":2022,"publication_date":"2022-02-01","ids":{"openalex":"https://openalex.org/W4213443911","doi":"https://doi.org/10.1109/jstsp.2022.3153168"},"language":"en","primary_location":{"id":"doi:10.1109/jstsp.2022.3153168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2022.3153168","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Journal of Selected Topics in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2201.06751","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068786430","display_name":"Pei-Duo Yu","orcid":"https://orcid.org/0000-0003-2794-6309"},"institutions":[{"id":"https://openalex.org/I151221077","display_name":"Chung Yuan Christian University","ror":"https://ror.org/02w8ws377","country_code":"TW","type":"education","lineage":["https://openalex.org/I151221077"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Pei-Duo Yu","raw_affiliation_strings":["Chung Yuan Christian University, Taoyuan City, Taiwan"],"raw_orcid":"https://orcid.org/0000-0003-2794-6309","affiliations":[{"raw_affiliation_string":"Chung Yuan Christian University, Taoyuan City, Taiwan","institution_ids":["https://openalex.org/I151221077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079559561","display_name":"Chee Wei Tan","orcid":"https://orcid.org/0000-0002-6624-9752"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chee Wei Tan","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-6624-9752","affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008893362","display_name":"Hung\u2010Lin Fu","orcid":"https://orcid.org/0000-0001-7218-3043"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hung-Lin Fu","raw_affiliation_strings":["National Yang Ming Chiao Tung University, Hsinchu, Taiwan"],"raw_orcid":"https://orcid.org/0000-0001-7218-3043","affiliations":[{"raw_affiliation_string":"National Yang Ming Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":null,"fwci":4.2439,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.95474622,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":"16","issue":"2","first_page":"234","last_page":"249"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11754","display_name":"SARS-CoV-2 detection and testing","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.6547634601593018},{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.5011093616485596},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4960220754146576},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4884899854660034},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4444931745529175},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.3727560341358185},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33173489570617676},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.227958083152771},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12388023734092712}],"concepts":[{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6547634601593018},{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.5011093616485596},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4960220754146576},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4884899854660034},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4444931745529175},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.3727560341358185},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33173489570617676},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.227958083152771},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12388023734092712}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstsp.2022.3153168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2022.3153168","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Journal of Selected Topics in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2201.06751","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2201.06751","pdf_url":"https://arxiv.org/pdf/2201.06751","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2201.06751","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2201.06751","pdf_url":"https://arxiv.org/pdf/2201.06751","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8600000143051147,"display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G2682814330","display_name":"The study on source-detection algorithm in networked-structure diffusion and the study on the application of network centralities","funder_award_id":"MOST110-2115-M033-001-MY2","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W106168865","https://openalex.org/W120105391","https://openalex.org/W131619556","https://openalex.org/W649265788","https://openalex.org/W1522289436","https://openalex.org/W1570381501","https://openalex.org/W1607198972","https://openalex.org/W1966006953","https://openalex.org/W1974243612","https://openalex.org/W2007300619","https://openalex.org/W2010338678","https://openalex.org/W2015668785","https://openalex.org/W2017368948","https://openalex.org/W2048774399","https://openalex.org/W2050316258","https://openalex.org/W2095006675","https://openalex.org/W2110227539","https://openalex.org/W2111772797","https://openalex.org/W2112515575","https://openalex.org/W2130466555","https://openalex.org/W2131499531","https://openalex.org/W2132022337","https://openalex.org/W2147470791","https://openalex.org/W2154594890","https://openalex.org/W2212777932","https://openalex.org/W2320448585","https://openalex.org/W2343012319","https://openalex.org/W2406499323","https://openalex.org/W2479032158","https://openalex.org/W2571239373","https://openalex.org/W2588703756","https://openalex.org/W2755088640","https://openalex.org/W2772289578","https://openalex.org/W2799567904","https://openalex.org/W2806857724","https://openalex.org/W2963385671","https://openalex.org/W3010635092","https://openalex.org/W3011466591","https://openalex.org/W3013215798","https://openalex.org/W3014640778","https://openalex.org/W3083989168","https://openalex.org/W3100347265","https://openalex.org/W3104670472","https://openalex.org/W3105272691","https://openalex.org/W3119995989","https://openalex.org/W3121890237","https://openalex.org/W3130225502","https://openalex.org/W3130747565","https://openalex.org/W3133833230","https://openalex.org/W3133995078","https://openalex.org/W3195095716","https://openalex.org/W3216873531","https://openalex.org/W4224117376","https://openalex.org/W4230129974","https://openalex.org/W4240632209","https://openalex.org/W4249261887","https://openalex.org/W4252678302","https://openalex.org/W4254395778","https://openalex.org/W6604861161","https://openalex.org/W6679191575","https://openalex.org/W6744271739","https://openalex.org/W6745787956","https://openalex.org/W6784538426"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W4229078645","https://openalex.org/W1977345676","https://openalex.org/W4282032776","https://openalex.org/W2047552823","https://openalex.org/W4321606905","https://openalex.org/W3130445735","https://openalex.org/W2105110616","https://openalex.org/W2747930654","https://openalex.org/W2739658809"],"abstract_inverted_index":{"We":[0],"study":[1,36],"the":[2,20,31,57,73,77,97,100,113,136,145,154,159],"epidemic":[3],"source":[4],"detection":[5],"problem":[6,18],"in":[7,23,52,164],"contact":[8,105,141],"tracing":[9,106,142],"networks":[10],"modeled":[11],"as":[12],"a":[13,27,49,90,127],"graph-constrained":[14],"maximum":[15,78],"likelihood":[16,54,79],"estimation":[17],"using":[19,140],"susceptible-infected":[21],"model":[22],"epidemiology.":[24],"Based":[25],"on":[26,86,89,126,156],"snapshot":[28],"observation":[29],"of":[30,59,65,76,99,116,129,158],"infection":[32,162],"subgraph,":[33],"we":[34,70],"first":[35],"finite":[37,60,117],"degree":[38],"regular":[39,42],"graphs":[40,43,62,87,119,130],"and":[41,63,148,166],"with":[44,120],"cycles":[45],"separately,":[46],"thereby":[47],"establishing":[48],"mathematical":[50],"equivalence":[51],"maximal":[53],"ratio":[55],"between":[56],"case":[58,115],"acyclic":[61],"that":[64,72,95,132],"cyclic":[66],"graphs.":[67],"In":[68],"particular,":[69],"show":[71],"optimal":[74],"solution":[75],"estimator":[80],"can":[81],"be":[82],"refined":[83],"to":[84,111],"distances":[85],"based":[88],"novel":[91],"statistical":[92],"distance":[93],"centrality":[94],"captures":[96],"optimality":[98],"nonconvex":[101],"problem.":[102],"An":[103],"efficient":[104],"algorithm":[107],"is":[108],"then":[109],"proposed":[110],"solve":[112],"general":[114],"degree-regular":[118],"multiple":[121],"cycles.":[122],"Our":[123],"performance":[124],"evaluation":[125],"variety":[128],"shows":[131],"our":[133],"algorithms":[134],"outperform":[135],"existing":[137],"state-of-the-art":[138],"heuristics":[139],"data":[143],"from":[144],"SARS-CoV":[146],"2003":[147],"COVID-19":[149],"pandemics":[150],"by":[151],"correctly":[152],"identifying":[153],"superspreaders":[155],"some":[157],"largest":[160],"superspreading":[161],"clusters":[163],"Singapore":[165],"Taiwan.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
