{"id":"https://openalex.org/W2311405147","doi":"https://doi.org/10.1145/2935764.2935791","title":"Better Bounds for Coalescing-Branching Random Walks","display_name":"Better Bounds for Coalescing-Branching Random Walks","publication_year":2016,"publication_date":"2016-07-08","ids":{"openalex":"https://openalex.org/W2311405147","doi":"https://doi.org/10.1145/2935764.2935791","mag":"2311405147"},"language":"en","primary_location":{"id":"doi:10.1145/2935764.2935791","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2935764.2935791","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2935791&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM Symposium on Parallelism in Algorithms and Architectures","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=2935791&type=pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062318856","display_name":"Michael Mitzenmacher","orcid":"https://orcid.org/0000-0001-5430-5457"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Michael Mitzenmacher","raw_affiliation_strings":["Harvard University, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Harvard University, Cambridge, MA, USA","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103525476","display_name":"Rajmohan Rajaraman","orcid":null},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rajmohan Rajaraman","raw_affiliation_strings":["Northeastern University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075798943","display_name":"Scott Roche","orcid":null},"institutions":[{"id":"https://openalex.org/I10734018","display_name":"Akamai (United States)","ror":"https://ror.org/03tarb191","country_code":"US","type":"company","lineage":["https://openalex.org/I10734018"]},{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Scott Roche","raw_affiliation_strings":["Northeastern University &amp; Akamai Technologies, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Northeastern University &amp; Akamai Technologies, Boston, MA, USA","institution_ids":["https://openalex.org/I10734018","https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062318856"],"corresponding_institution_ids":["https://openalex.org/I2801851002"],"apc_list":null,"apc_paid":null,"fwci":0.8837,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74577638,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"313","last_page":"323"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9965999722480774,"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"}},{"id":"https://openalex.org/T11152","display_name":"Stochastic processes and statistical mechanics","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/random-walk","display_name":"Random walk","score":0.8018205165863037},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.5590392351150513},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.5454233288764954},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45395180583000183},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.43848884105682373},{"id":"https://openalex.org/keywords/cobra","display_name":"Cobra","score":0.41510653495788574},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3915945291519165},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.35644251108169556},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19140276312828064},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.18265563249588013},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11950230598449707}],"concepts":[{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.8018205165863037},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.5590392351150513},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.5454233288764954},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45395180583000183},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.43848884105682373},{"id":"https://openalex.org/C2779547071","wikidata":"https://www.wikidata.org/wiki/Q608565","display_name":"Cobra","level":2,"score":0.41510653495788574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3915945291519165},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.35644251108169556},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19140276312828064},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.18265563249588013},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11950230598449707},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2935764.2935791","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2935764.2935791","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2935791&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM Symposium on Parallelism in Algorithms and Architectures","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/2935764.2935791","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2935764.2935791","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2935791&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM Symposium on Parallelism in Algorithms and Architectures","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3370793288","display_name":null,"funder_award_id":"CCF-1422715","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4392828662","display_name":"AF: Small: Network Algorithms Under Adversarial and Stochastic Uncertainty","funder_award_id":"1422715","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G467264487","display_name":"AitF: FULL: Collaborative Research: Optimizing Networked Systems with Limited Information","funder_award_id":"1535929","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5654257670","display_name":null,"funder_award_id":"CNS-1228598,CCF-1320231,CCF-1535795,CCF-1422715,CCF-1535929,CCF-1216038","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6050657354","display_name":null,"funder_award_id":"CNS-1228598","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6133564518","display_name":null,"funder_award_id":"CCF-1535795","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6289631934","display_name":"AF: Small: Data Synchronization : Theory, Algorithms, and Practice","funder_award_id":"1320231","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6647242665","display_name":"TWC: Medium: Collaborative: Privacy-Preserving Distributed Storage and Computation","funder_award_id":"1228598","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7651911100","display_name":"ICES: Large: Collaborative: The Role of Space, Time and Information in Controlling Epidemics","funder_award_id":"1216038","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8648019094","display_name":"AitF: FULL: Collaborative Research: Better Hashing for Applications:  From Nuts & Bolts to Asymptotics","funder_award_id":"1535795","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2311405147.pdf","grobid_xml":"https://content.openalex.org/works/W2311405147.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1502339582","https://openalex.org/W1548210024","https://openalex.org/W1564693713","https://openalex.org/W1595409123","https://openalex.org/W1914027636","https://openalex.org/W1975694313","https://openalex.org/W1988770614","https://openalex.org/W1997918610","https://openalex.org/W2029596791","https://openalex.org/W2046480269","https://openalex.org/W2047784567","https://openalex.org/W2056760934","https://openalex.org/W2063513700","https://openalex.org/W2066068060","https://openalex.org/W2069992656","https://openalex.org/W2078980950","https://openalex.org/W2108386843","https://openalex.org/W2111933629","https://openalex.org/W2160504298","https://openalex.org/W2169397725","https://openalex.org/W2170807097","https://openalex.org/W2171032320","https://openalex.org/W2206897606","https://openalex.org/W2281441226","https://openalex.org/W2568511220","https://openalex.org/W3100745927","https://openalex.org/W4230376356","https://openalex.org/W4298290742","https://openalex.org/W6644136439","https://openalex.org/W6811290578"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W3013135944","https://openalex.org/W3082827772","https://openalex.org/W3040253843","https://openalex.org/W2420328433","https://openalex.org/W3020570327","https://openalex.org/W2265857976","https://openalex.org/W4213166692","https://openalex.org/W1984231369","https://openalex.org/W2044358132"],"abstract_inverted_index":{"Coalescing-branching":[0],"random":[1,13,53],"walks,":[2],"or":[3,26,103],"cobra":[4,85],"walks":[5,14,86],"for":[6,84],"short,":[7],"are":[8,46,70],"a":[9,34,41],"natural":[10,80],"variant":[11],"of":[12,22,29,43],"on":[15],"graphs":[16],"that":[17,61],"can":[18],"model":[19],"the":[20,27,44,65,71,76,88,94,105],"spread":[21,28],"disease":[23],"through":[24],"contacts":[25],"information":[30],"in":[31],"networks.":[32],"In":[33],"k-cobra":[35],"walk,":[36],"at":[37,64,75],"each":[38,48],"time":[39,96],"step":[40],"subset":[42],"vertices":[45,74],"active;":[47],"active":[49,63,73],"vertex":[50],"chooses":[51],"k":[52],"neighbors":[54],"(sampled":[55],"independently":[56],"and":[57,68],"uniformly":[58],"with":[59],"replacement)":[60],"become":[62,101],"next":[66,77],"step,":[67],"these":[69],"only":[72],"step.":[78],"A":[79],"quantity":[81],"to":[82,93],"study":[83],"is":[87],"cover":[89],"time,":[90],"which":[91],"corresponds":[92],"expected":[95],"when":[97],"all":[98],"nodes":[99],"have":[100],"infected":[102],"received":[104],"disseminated":[106],"information.":[107]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
