{"id":"https://openalex.org/W2051374798","doi":"https://doi.org/10.1109/icassp.2014.6853772","title":"Subgraph density and epidemics over networks","display_name":"Subgraph density and epidemics over networks","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2051374798","doi":"https://doi.org/10.1109/icassp.2014.6853772","mag":"2051374798"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6853772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6853772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":null,"display_name":"June Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"June Zhang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, , USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045861415","display_name":"Jos\u00e9 M. F. Moura","orcid":"https://orcid.org/0000-0002-9822-8294"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jose M.F. Moura","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, , USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":0.4699,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65196714,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1125","last_page":"1129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10410","display_name":"COVID-19 epidemiological studies","score":0.9855999946594238,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9855999946594238,"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/network-topology","display_name":"Network topology","score":0.6695688962936401},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.6304143071174622},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.5459713935852051},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5440452098846436},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5198153257369995},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.5163118243217468},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5034763216972351},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.48124003410339355},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4697803556919098},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.45114797353744507},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.4397132992744446},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.4346698522567749},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.426278680562973},{"id":"https://openalex.org/keywords/diffusion-process","display_name":"Diffusion process","score":0.4230743646621704},{"id":"https://openalex.org/keywords/continuous-time-markov-chain","display_name":"Continuous-time Markov chain","score":0.4175068736076355},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.36429333686828613},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34177127480506897},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.31173986196517944},{"id":"https://openalex.org/keywords/markov-property","display_name":"Markov property","score":0.2682307958602905},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2067519724369049},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1605113446712494},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13967999815940857},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1323702037334442},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.10940366983413696},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1030103862285614},{"id":"https://openalex.org/keywords/innovation-diffusion","display_name":"Innovation diffusion","score":0.09530261158943176},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07063189148902893}],"concepts":[{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.6695688962936401},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.6304143071174622},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.5459713935852051},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5440452098846436},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5198153257369995},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.5163118243217468},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5034763216972351},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.48124003410339355},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4697803556919098},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.45114797353744507},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.4397132992744446},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.4346698522567749},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.426278680562973},{"id":"https://openalex.org/C68710425","wikidata":"https://www.wikidata.org/wiki/Q5275442","display_name":"Diffusion process","level":3,"score":0.4230743646621704},{"id":"https://openalex.org/C147080032","wikidata":"https://www.wikidata.org/wiki/Q176720","display_name":"Continuous-time Markov chain","level":5,"score":0.4175068736076355},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.36429333686828613},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34177127480506897},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.31173986196517944},{"id":"https://openalex.org/C189973286","wikidata":"https://www.wikidata.org/wiki/Q176695","display_name":"Markov property","level":4,"score":0.2682307958602905},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2067519724369049},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1605113446712494},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13967999815940857},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1323702037334442},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.10940366983413696},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1030103862285614},{"id":"https://openalex.org/C3017618536","wikidata":"https://www.wikidata.org/wiki/Q304994","display_name":"Innovation diffusion","level":2,"score":0.09530261158943176},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07063189148902893},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2014.6853772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6853772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8700000047683716,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W247697463","https://openalex.org/W1500512125","https://openalex.org/W1501825524","https://openalex.org/W1533368239","https://openalex.org/W1914027636","https://openalex.org/W2004447163","https://openalex.org/W2012405765","https://openalex.org/W2053491613","https://openalex.org/W2060720607","https://openalex.org/W2080655821","https://openalex.org/W2090509666","https://openalex.org/W2146758567","https://openalex.org/W4238591275","https://openalex.org/W4298404569"],"related_works":["https://openalex.org/W1567439243","https://openalex.org/W3126873283","https://openalex.org/W4376457996","https://openalex.org/W1993731165","https://openalex.org/W2393621008","https://openalex.org/W4317465184","https://openalex.org/W2540690809","https://openalex.org/W2995598024","https://openalex.org/W2353273130","https://openalex.org/W2095860056"],"abstract_inverted_index":{"We":[0],"model":[1],"a":[2,7,12,78],"SIS":[3,19,79],"(susceptible-infected-susceptible)":[4],"epidemics":[5,20,80],"over":[6,85],"static,":[8,87],"finite-sized":[9],"network":[10,41,65],"as":[11],"continuous-time":[13],"Markov":[14],"process":[15],"using":[16],"the":[17,28,33,40,46,64,68,73],"scaled":[18],"model.":[21],"In":[22,54],"our":[23],"previous":[24],"work,":[25],"we":[26,57],"derived":[27],"closed":[29],"form":[30],"description":[31],"of":[32,72,77],"equilibrium":[34,49],"distribution":[35],"that":[36,45],"explicitly":[37],"accounts":[38],"for":[39],"topology":[42,66],"and":[43],"showed":[44],"most":[47,69],"probable":[48,70],"state":[50,71],"demonstrates":[51],"threshold":[52],"behavior.":[53],"this":[55],"paper,":[56],"will":[58],"show":[59],"how":[60],"subgraph":[61],"structures":[62],"in":[63],"impact":[67],"long":[74],"run":[75],"behavior":[76],"(i.e.,":[81],"stochastic":[82],"diffusion":[83],"process)":[84],"any":[86],"finite-sized,":[88],"network.":[89]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
