{"id":"https://openalex.org/W2566088426","doi":"https://doi.org/10.1109/cibcb.2016.7758124","title":"Revisiting epidemic network evolution with a new representation","display_name":"Revisiting epidemic network evolution with a new representation","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2566088426","doi":"https://doi.org/10.1109/cibcb.2016.7758124","mag":"2566088426"},"language":"en","primary_location":{"id":"doi:10.1109/cibcb.2016.7758124","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibcb.2016.7758124","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","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/A5063519859","display_name":"Meghan Timmins","orcid":null},"institutions":[{"id":"https://openalex.org/I79817857","display_name":"University of Guelph","ror":"https://ror.org/01r7awg59","country_code":"CA","type":"education","lineage":["https://openalex.org/I79817857"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Meghan Timmins","raw_affiliation_strings":["Department of Mathematics and Statistics at the University of Guelph, Guelph, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics at the University of Guelph, Guelph, Ontario, Canada","institution_ids":["https://openalex.org/I79817857"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080870632","display_name":"Daniel Ashlock","orcid":"https://orcid.org/0000-0003-2209-7504"},"institutions":[{"id":"https://openalex.org/I79817857","display_name":"University of Guelph","ror":"https://ror.org/01r7awg59","country_code":"CA","type":"education","lineage":["https://openalex.org/I79817857"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Daniel Ashlock","raw_affiliation_strings":["Department of Mathematics and Statistics at the University of Guelph, Guelph, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics at the University of Guelph, Guelph, Ontario, Canada","institution_ids":["https://openalex.org/I79817857"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063519859"],"corresponding_institution_ids":["https://openalex.org/I79817857"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13218077,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11764","display_name":"Evolution and Genetic Dynamics","score":0.998199999332428,"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"}},"topics":[{"id":"https://openalex.org/T11764","display_name":"Evolution and Genetic Dynamics","score":0.998199999332428,"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"}},{"id":"https://openalex.org/T11252","display_name":"Evolutionary Game Theory and Cooperation","score":0.9918000102043152,"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"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9916999936103821,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.7589851021766663},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6800626516342163},{"id":"https://openalex.org/keywords/tournament-selection","display_name":"Tournament selection","score":0.5866574645042419},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5734635591506958},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5438362956047058},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5185801982879639},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48633795976638794},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4792361557483673},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4651442766189575},{"id":"https://openalex.org/keywords/type","display_name":"Type (biology)","score":0.4608551859855652},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.45446035265922546},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.44030332565307617}],"concepts":[{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.7589851021766663},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6800626516342163},{"id":"https://openalex.org/C165661538","wikidata":"https://www.wikidata.org/wiki/Q7829327","display_name":"Tournament selection","level":3,"score":0.5866574645042419},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5734635591506958},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5438362956047058},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5185801982879639},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48633795976638794},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4792361557483673},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4651442766189575},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.4608551859855652},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.45446035265922546},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.44030332565307617},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cibcb.2016.7758124","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibcb.2016.7758124","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W8795912","https://openalex.org/W179648542","https://openalex.org/W1479863711","https://openalex.org/W1486199311","https://openalex.org/W1576789214","https://openalex.org/W1654488298","https://openalex.org/W1905345416","https://openalex.org/W1966519876","https://openalex.org/W1974811277","https://openalex.org/W2114643549","https://openalex.org/W2137907137","https://openalex.org/W2139137343","https://openalex.org/W2144837496","https://openalex.org/W2341520999","https://openalex.org/W2486606926","https://openalex.org/W2559713566","https://openalex.org/W2946375133","https://openalex.org/W4293517722","https://openalex.org/W6607273925"],"related_works":["https://openalex.org/W2789747466","https://openalex.org/W4301705469","https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W2391924736","https://openalex.org/W3133779647","https://openalex.org/W1560122427","https://openalex.org/W3041827036","https://openalex.org/W1993493607","https://openalex.org/W2021957875"],"abstract_inverted_index":{"This":[0],"study":[1,35],"revisits":[2],"the":[3,12,22,28,34,75,102,112,133],"test":[4],"problem":[5],"of":[6,15,24,33,48,51,99,111,125,135,139,148],"evolving":[7],"a":[8,16,39,49,56,61,96,122,136],"network":[9,43,58,63],"that":[10,54,150],"gives":[11],"contact":[13],"structure":[14],"population":[17],"so":[18],"as":[19],"to":[20,37,59,106],"maximize":[21],"length":[23],"epidemics":[25],"based":[26],"on":[27,92],"network.":[29],"A":[30,128],"novel":[31,130],"feature":[32],"is":[36,71,132],"use":[38,151],"new":[40,113,137],"representation":[41,46,70,114],"for":[42,65,143],"evolution.":[44],"The":[45,69,89],"consists":[47],"sequence":[50],"editing":[52,78],"commands":[53],"modify":[55],"starting":[57],"specify":[60],"final":[62],"evaluated":[64],"its":[66],"epidemic":[67],"properties.":[68],"parametrized":[72],"by":[73],"specifying":[74],"probability":[76],"each":[77],"command":[79],"will":[80],"be":[81],"generated":[82],"in":[83],"initial":[84],"populations":[85],"and":[86,118],"during":[87],"mutation.":[88],"original":[90],"work":[91],"long-epidemic":[93],"networks":[94],"required":[95],"sophisticated":[97],"type":[98,124,138],"evolutionary":[100,104,126],"algorithm,":[101,105],"restarting-recentering":[103],"obtain":[107],"high-fitness":[108],"results.":[109],"Use":[110],"permits":[115],"superior":[116],"results":[117],"obtains":[119],"them":[120],"using":[121],"simpler":[123],"algorithm.":[127],"second":[129],"result":[131],"introduction":[134],"tournament":[140],"selection,":[141],"useful":[142],"at":[144],"least":[145],"some":[146],"types":[147],"evolution":[149],"stochastic":[152],"fitness":[153],"functions.":[154]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}