{"id":"https://openalex.org/W2912902129","doi":"https://doi.org/10.1109/cdc.2018.8618664","title":"A Robust Moment Closure for General Continuous-time Epidemic Processes","display_name":"A Robust Moment Closure for General Continuous-time Epidemic Processes","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2912902129","doi":"https://doi.org/10.1109/cdc.2018.8618664","mag":"2912902129"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2018.8618664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2018.8618664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102857267","display_name":"Nicholas J. Watkins","orcid":null},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicholas J. Watkins","raw_affiliation_strings":["Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089986356","display_name":"Cameron Nowzari","orcid":"https://orcid.org/0000-0001-7287-9972"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cameron Nowzari","raw_affiliation_strings":["Department of Electrical and Computer Engineering, George Mason University, Fairfax, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, George Mason University, Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029243115","display_name":"George J. Pappas","orcid":"https://orcid.org/0000-0001-9081-0637"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"George J. Pappas","raw_affiliation_strings":["Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6792,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71086305,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"89","issue":null,"first_page":"244","last_page":"249"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.998199999332428,"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":0.998199999332428,"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":0.9973000288009644,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9965999722480774,"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/closure","display_name":"Closure (psychology)","score":0.8784724473953247},{"id":"https://openalex.org/keywords/moment-closure","display_name":"Moment closure","score":0.8751253485679626},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.7820909023284912},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.5272459387779236},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.507675051689148},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5022401809692383},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4810374081134796},{"id":"https://openalex.org/keywords/stochastic-differential-equation","display_name":"Stochastic differential equation","score":0.4631902873516083},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4391610026359558},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43492835760116577},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4316890239715576},{"id":"https://openalex.org/keywords/second-moment-of-area","display_name":"Second moment of area","score":0.42713090777397156},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4236822724342346},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.3271586000919342},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12810716032981873},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11240574717521667},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.10672947764396667},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09451654553413391},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08629918098449707},{"id":"https://openalex.org/keywords/mechanics","display_name":"Mechanics","score":0.08362573385238647}],"concepts":[{"id":"https://openalex.org/C146834321","wikidata":"https://www.wikidata.org/wiki/Q2979672","display_name":"Closure (psychology)","level":2,"score":0.8784724473953247},{"id":"https://openalex.org/C2778513689","wikidata":"https://www.wikidata.org/wiki/Q6897109","display_name":"Moment closure","level":3,"score":0.8751253485679626},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.7820909023284912},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.5272459387779236},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.507675051689148},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5022401809692383},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4810374081134796},{"id":"https://openalex.org/C51955184","wikidata":"https://www.wikidata.org/wiki/Q1545585","display_name":"Stochastic differential equation","level":2,"score":0.4631902873516083},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4391610026359558},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43492835760116577},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4316890239715576},{"id":"https://openalex.org/C61062188","wikidata":"https://www.wikidata.org/wiki/Q835065","display_name":"Second moment of area","level":2,"score":0.42713090777397156},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4236822724342346},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.3271586000919342},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12810716032981873},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11240574717521667},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.10672947764396667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09451654553413391},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08629918098449707},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.08362573385238647},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C196558001","wikidata":"https://www.wikidata.org/wiki/Q190132","display_name":"Turbulence","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc.2018.8618664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2018.8618664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"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/W114870970","https://openalex.org/W169333306","https://openalex.org/W240844920","https://openalex.org/W1539019161","https://openalex.org/W2059720008","https://openalex.org/W2061949976","https://openalex.org/W2062259223","https://openalex.org/W2084618626","https://openalex.org/W2087317600","https://openalex.org/W2118820208","https://openalex.org/W2314043858","https://openalex.org/W2606681777","https://openalex.org/W2783700140","https://openalex.org/W2783791338","https://openalex.org/W2963029279","https://openalex.org/W2963160040","https://openalex.org/W2963734869","https://openalex.org/W3101440506","https://openalex.org/W4252394414","https://openalex.org/W4252678302","https://openalex.org/W4299795887","https://openalex.org/W6698775190"],"related_works":["https://openalex.org/W2028201299","https://openalex.org/W833693098","https://openalex.org/W2394203372","https://openalex.org/W2909724457","https://openalex.org/W2013153863","https://openalex.org/W2087343481","https://openalex.org/W2360922486","https://openalex.org/W171914860","https://openalex.org/W2060317829","https://openalex.org/W4249297485"],"abstract_inverted_index":{"We":[0,82],"develop":[1],"a":[2,7,31,46],"robust":[3],"moment":[4,25],"closure":[5,26,104],"for":[6,38,63],"general":[8,32],"class":[9],"of":[10,17,48,96],"continuous-time":[11],"epidemic":[12],"spreading":[13,35,98],"processes,":[14,99],"the":[15,22,58,71,102],"elements":[16],"which":[18,77],"are":[19],"prevalent":[20],"in":[21],"literature.":[23],"Our":[24],"method":[27],"takes":[28],"as":[29],"input":[30],"stochastic":[33],"compartmental":[34,60],"process":[36],"defined":[37],"n":[39],"agents":[40],"and":[41,44,100],"m":[42],"compartments,":[43],"produces":[45],"system":[47],"2nm":[49],"differential":[50],"equations":[51],"whose":[52],"solutions":[53],"provide":[54,87],"nontrivial":[55],"approximations":[56],"to":[57,105],"marginal":[59],"membership":[61],"probabilities":[62],"each":[64],"agent.":[65],"This":[66],"is":[67],"an":[68],"improvement":[69],"over":[70],"commonly":[72],"used":[73],"mean-field":[74,110],"type":[75],"approximation,":[76],"provides":[78],"no":[79],"such":[80],"guarantee.":[81],"demonstrate":[83],"that":[84],"our":[85],"results":[86],"useful":[88],"predictions":[89],"with":[90],"examples":[91],"performed":[92],"on":[93],"two":[94],"models":[95],"competitive":[97],"find":[101],"developed":[103],"be":[106],"more":[107],"informative":[108],"than":[109],"approximations.":[111]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
