{"id":"https://openalex.org/W1974351179","doi":"https://doi.org/10.1109/wcnc.2013.6554792","title":"Optimization algorithms for epidemic evolution in broadcast networks","display_name":"Optimization algorithms for epidemic evolution in broadcast networks","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W1974351179","doi":"https://doi.org/10.1109/wcnc.2013.6554792","mag":"1974351179"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc.2013.6554792","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2013.6554792","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-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/A5063431322","display_name":"Xiangping Zhai","orcid":"https://orcid.org/0000-0001-8939-199X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Xiangping Zhai","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, China","City University of Hong Kong, Hong kong, China"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"City University of Hong Kong, Hong kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100740528","display_name":"Liang Zheng","orcid":"https://orcid.org/0000-0001-6683-898X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Liang Zheng","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, China","City University of Hong Kong, Hong kong, China"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"City University of Hong Kong, Hong kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100356291","display_name":"Jianping Wang","orcid":"https://orcid.org/0000-0002-9318-1482"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jianping Wang","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, China","City University of Hong Kong, Hong kong, China"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"City University of Hong Kong, Hong kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079559561","display_name":"Chee Wei Tan","orcid":"https://orcid.org/0000-0002-6624-9752"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chee Wei Tan","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, China","City University of Hong Kong, Hong kong, China"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"City University of Hong Kong, Hong kong, China","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063431322"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":1.2471,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.78872623,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","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"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","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/T10482","display_name":"Mathematical and Theoretical Epidemiology and Ecology Models","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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/T11764","display_name":"Evolution and Genetic Dynamics","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5839285254478455},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.538077175617218},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5273645520210266},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5262381434440613},{"id":"https://openalex.org/keywords/cma-es","display_name":"CMA-ES","score":0.4777861535549164},{"id":"https://openalex.org/keywords/lagrangian-relaxation","display_name":"Lagrangian relaxation","score":0.4628220498561859},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4238024353981018},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37165939807891846},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.33450984954833984},{"id":"https://openalex.org/keywords/evolution-strategy","display_name":"Evolution strategy","score":0.2811752259731293},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26473262906074524},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13655278086662292}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5839285254478455},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.538077175617218},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5273645520210266},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5262381434440613},{"id":"https://openalex.org/C205555498","wikidata":"https://www.wikidata.org/wiki/Q505588","display_name":"CMA-ES","level":4,"score":0.4777861535549164},{"id":"https://openalex.org/C91765299","wikidata":"https://www.wikidata.org/wiki/Q3424292","display_name":"Lagrangian relaxation","level":2,"score":0.4628220498561859},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4238024353981018},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37165939807891846},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.33450984954833984},{"id":"https://openalex.org/C207002847","wikidata":"https://www.wikidata.org/wiki/Q2912857","display_name":"Evolution strategy","level":3,"score":0.2811752259731293},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26473262906074524},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13655278086662292}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcnc.2013.6554792","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2013.6554792","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W154172610","https://openalex.org/W1577573956","https://openalex.org/W1579743691","https://openalex.org/W1584325681","https://openalex.org/W1978136502","https://openalex.org/W1989778318","https://openalex.org/W1998135842","https://openalex.org/W2009058274","https://openalex.org/W2018046410","https://openalex.org/W2050882265","https://openalex.org/W2081017921","https://openalex.org/W2082878120","https://openalex.org/W2108143619","https://openalex.org/W2108937544","https://openalex.org/W2112494680","https://openalex.org/W2130515279","https://openalex.org/W2296319761","https://openalex.org/W4205879831","https://openalex.org/W4231671107","https://openalex.org/W4250589301","https://openalex.org/W4301885439","https://openalex.org/W6634989040"],"related_works":["https://openalex.org/W2592891920","https://openalex.org/W2774408184","https://openalex.org/W2002102264","https://openalex.org/W4237964977","https://openalex.org/W2155100848","https://openalex.org/W2072153706","https://openalex.org/W2075228635","https://openalex.org/W3097196196","https://openalex.org/W2102869784","https://openalex.org/W2116954712"],"abstract_inverted_index":{"Epidemic":[0],"evolution":[1,24,43,60,68],"is":[2,16,86,107],"the":[3,19,22,36,63,87,121],"spread":[4],"of":[5,21,91],"a":[6,12,48,53,71,77,92,108,126],"computer":[7],"or":[8],"biological":[9],"virus":[10],"over":[11,52],"network.":[13],"The":[14,41,104],"goal":[15],"to":[17,31,99],"control":[18,28,69],"speed":[20],"epidemic":[23,42,59],"with":[25,82],"limited":[26],"network":[27,37],"resources":[29],"and":[30,65],"study":[32],"how":[33],"users":[34],"in":[35,62,138],"can":[38,44,124],"be":[39,45],"infected.":[40],"modeled":[46],"by":[47],"probabilistic":[49],"dynamical":[50],"system":[51],"connected":[54],"graph.":[55],"We":[56,95],"consider":[57],"several":[58],"models":[61],"literature,":[64],"formulate":[66],"their":[67],"under":[70],"common":[72],"framework":[73],"that":[74,85,133],"requires":[75],"solving":[76],"non":[78,139],"convex":[79,118],"optimization":[80,102],"problem":[81],"an":[83],"objective":[84],"spectral":[88],"radius":[89],"function":[90],"nonnegative":[93],"matrix.":[94],"propose":[96],"two":[97],"algorithms":[98],"tackle":[100],"this":[101],"problem.":[103],"first":[105],"one":[106,123],"suboptimal":[109],"but":[110],"computation":[111],"ally":[112],"fast":[113],"algorithm":[114],"based":[115],"on":[116],"successive":[117],"relaxation,":[119],"while":[120],"second":[122],"compute":[125],"global":[127],"optimal":[128],"solution":[129],"using":[130],"branch-and-bound":[131],"techniques":[132],"leverage":[134],"some":[135],"key":[136],"inequalities":[137],"negative":[140],"matrix":[141],"theory.":[142]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
