{"id":"https://openalex.org/W2992560838","doi":"https://doi.org/10.1109/ieeeconf51394.2020.9443409","title":"Sequential Estimation of Network Cascades","display_name":"Sequential Estimation of Network Cascades","publication_year":2020,"publication_date":"2020-11-01","ids":{"openalex":"https://openalex.org/W2992560838","doi":"https://doi.org/10.1109/ieeeconf51394.2020.9443409","mag":"2992560838"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf51394.2020.9443409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf51394.2020.9443409","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1912.03800","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007666586","display_name":"Anirudh Sridhar","orcid":"https://orcid.org/0000-0001-8732-7708"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Anirudh Sridhar","raw_affiliation_strings":["Department of Electrical Engineering, Princeton University, Princeton, NJ","Princeton University"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, Princeton, NJ","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Princeton University","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042307561","display_name":"H. Vincent Poor","orcid":"https://orcid.org/0000-0002-2062-131X"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H. Vincent Poor","raw_affiliation_strings":["Department of Electrical Engineering, Princeton University, Princeton, NJ","Princeton University"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, Princeton, NJ","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Princeton University","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5007666586"],"corresponding_institution_ids":["https://openalex.org/I20089843"],"apc_list":null,"apc_paid":null,"fwci":0.533,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.61670616,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"pp","issue":null,"first_page":"1507","last_page":"1511"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9986000061035156,"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":0.9986000061035156,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9922999739646912,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.7047625184059143},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.5833166837692261},{"id":"https://openalex.org/keywords/asymptotically-optimal-algorithm","display_name":"Asymptotically optimal algorithm","score":0.5472367405891418},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5076824426651001},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5010678768157959},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.46183300018310547},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4420568346977234},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4355162978172302},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42882195115089417},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.41883084177970886},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.26047176122665405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13112780451774597},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.09377580881118774}],"concepts":[{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.7047625184059143},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.5833166837692261},{"id":"https://openalex.org/C181789720","wikidata":"https://www.wikidata.org/wiki/Q4812191","display_name":"Asymptotically optimal algorithm","level":2,"score":0.5472367405891418},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5076824426651001},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5010678768157959},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.46183300018310547},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4420568346977234},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4355162978172302},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42882195115089417},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.41883084177970886},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.26047176122665405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13112780451774597},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.09377580881118774},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/ieeeconf51394.2020.9443409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf51394.2020.9443409","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1912.03800","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1912.03800","pdf_url":"https://arxiv.org/pdf/1912.03800","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"","raw_type":"text"},{"id":"mag:2992560838","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1912.03800","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1912.03800","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1912.03800","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1912.03800","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1912.03800","pdf_url":"https://arxiv.org/pdf/1912.03800","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4727651235","display_name":null,"funder_award_id":"A9550-18-1-0502","funder_id":"https://openalex.org/F4320332467","funder_display_name":"U.S. Air Force"},{"id":"https://openalex.org/G7090116110","display_name":null,"funder_award_id":"FA9550","funder_id":"https://openalex.org/F4320332467","funder_display_name":"U.S. Air Force"},{"id":"https://openalex.org/G8351228315","display_name":null,"funder_award_id":"FA9550-18-1-0502","funder_id":"https://openalex.org/F4320332467","funder_display_name":"U.S. Air Force"},{"id":"https://openalex.org/G8869991307","display_name":null,"funder_award_id":"FA9550-18-1-0502","funder_id":"https://openalex.org/F4320333591","funder_display_name":"Multidisciplinary University Research Initiative"}],"funders":[{"id":"https://openalex.org/F4320332467","display_name":"U.S. Air Force","ror":"https://ror.org/006gmme17"},{"id":"https://openalex.org/F4320333591","display_name":"Multidisciplinary University Research Initiative","ror":null},{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2992560838.pdf","grobid_xml":"https://content.openalex.org/works/W2992560838.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1508299658","https://openalex.org/W1552680785","https://openalex.org/W1600905319","https://openalex.org/W1966006953","https://openalex.org/W2009122315","https://openalex.org/W2011014734","https://openalex.org/W2012037220","https://openalex.org/W2111772797","https://openalex.org/W2112515575","https://openalex.org/W2124486211","https://openalex.org/W2129813704","https://openalex.org/W2136414026","https://openalex.org/W2140095656","https://openalex.org/W2161115820","https://openalex.org/W2212777932","https://openalex.org/W2289188741","https://openalex.org/W2518315969","https://openalex.org/W2582561810","https://openalex.org/W2735951779","https://openalex.org/W2768092828","https://openalex.org/W2892116260","https://openalex.org/W2919007209","https://openalex.org/W2963236534","https://openalex.org/W2964302420","https://openalex.org/W2980588138","https://openalex.org/W2987119270","https://openalex.org/W2996821993","https://openalex.org/W3015234084","https://openalex.org/W3016516185","https://openalex.org/W6635643883","https://openalex.org/W6736914268","https://openalex.org/W6753328431","https://openalex.org/W6769911549","https://openalex.org/W6770089703"],"related_works":["https://openalex.org/W3205059243","https://openalex.org/W2150105124","https://openalex.org/W2111772797","https://openalex.org/W2778759985","https://openalex.org/W2790191154","https://openalex.org/W3152719084","https://openalex.org/W1506590868","https://openalex.org/W2986276296","https://openalex.org/W102553210","https://openalex.org/W3103345129","https://openalex.org/W3126784434","https://openalex.org/W2900636804","https://openalex.org/W2969947354","https://openalex.org/W2885453862","https://openalex.org/W3157422983","https://openalex.org/W2259577537","https://openalex.org/W2896735367","https://openalex.org/W1990359855","https://openalex.org/W3042352301","https://openalex.org/W2053204254"],"abstract_inverted_index":{"We":[0,96,115],"consider":[1],"the":[2,6,20,48,59,90],"problem":[3],"of":[4,8,16,66,72],"locating":[5],"source":[7,49],"a":[9,13,56,63,70,86],"network":[10,17],"cascade,":[11],"given":[12],"noisy":[14],"time-series":[15],"data.":[18],"Initially,":[19],"cascade":[21],"starts":[22],"with":[23,120],"one":[24],"unknown,":[25],"affected":[26],"vertex":[27],"and":[28,102,105],"spreads":[29],"deterministically":[30],"at":[31],"each":[32],"time":[33],"step.":[34],"The":[35],"goal":[36],"is":[37],"to":[38,55,85,94,100],"find":[39],"an":[40,45],"adaptive":[41],"procedure":[42],"that":[43,79,107],"outputs":[44],"estimate":[46],"for":[47,112],"as":[50,52,89],"fast":[51],"possible,":[53],"subject":[54],"bound":[57],"on":[58],"estimation":[60,91],"error.":[61],"For":[62],"general":[64],"class":[65],"graphs,":[67],"we":[68],"describe":[69],"family":[71],"matrix":[73],"sequential":[74],"probability":[75],"ratio":[76],"tests":[77],"(MSPRTs)":[78],"are":[80,109],"first-order":[81],"asymptotically":[82,110],"optimal":[83,111],"up":[84],"constant":[87],"factor":[88],"error":[92],"tends":[93],"zero.":[95],"apply":[97],"our":[98,117],"results":[99,119],"lattices":[101],"regular":[103,113],"trees,":[104],"show":[106],"MSPRTs":[108],"trees.":[114],"support":[116],"theoretical":[118],"simulations.":[121]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}