{"id":"https://openalex.org/W3149148695","doi":"https://doi.org/10.1109/wsc.2010.5679085","title":"Simulating multivariate time series using flocking","display_name":"Simulating multivariate time series using flocking","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W3149148695","doi":"https://doi.org/10.1109/wsc.2010.5679085","mag":"3149148695"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2010.5679085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2010.5679085","pdf_url":null,"source":{"id":"https://openalex.org/S4363608948","display_name":"Proceedings of the 2010 Winter Simulation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2010 Winter Simulation Conference","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/A5087463007","display_name":"Lee W. Schruben","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lee W. Schruben","raw_affiliation_strings":["Department of Industrial Engineering & Operations Research, University of California Berkeley, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering & Operations Research, University of California Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056067391","display_name":"Dashi I. Singham","orcid":"https://orcid.org/0000-0003-4201-4585"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dashi I. Singham","raw_affiliation_strings":["Department of Industrial Engineering & Operations Research, University of California Berkeley, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering & Operations Research, University of California Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5087463007"],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":2.9942,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.92802057,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1048","last_page":"1054"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9731000065803528,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9631999731063843,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/flocking","display_name":"Flocking (texture)","score":0.9714203476905823},{"id":"https://openalex.org/keywords/replicate","display_name":"Replicate","score":0.7669098377227783},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.6947629451751709},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6530095338821411},{"id":"https://openalex.org/keywords/flock","display_name":"Flock","score":0.6150722503662109},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5805229544639587},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.46204420924186707},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.44851142168045044},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3990750014781952},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3424244523048401},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2676520347595215},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.26115092635154724},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25429752469062805},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10688769817352295},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.09533825516700745}],"concepts":[{"id":"https://openalex.org/C2781220375","wikidata":"https://www.wikidata.org/wiki/Q814208","display_name":"Flocking (texture)","level":2,"score":0.9714203476905823},{"id":"https://openalex.org/C2781162219","wikidata":"https://www.wikidata.org/wiki/Q26250693","display_name":"Replicate","level":2,"score":0.7669098377227783},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6947629451751709},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6530095338821411},{"id":"https://openalex.org/C134215735","wikidata":"https://www.wikidata.org/wiki/Q120997","display_name":"Flock","level":2,"score":0.6150722503662109},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5805229544639587},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.46204420924186707},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.44851142168045044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3990750014781952},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3424244523048401},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2676520347595215},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.26115092635154724},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25429752469062805},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10688769817352295},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.09533825516700745},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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":2,"locations":[{"id":"doi:10.1109/wsc.2010.5679085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2010.5679085","pdf_url":null,"source":{"id":"https://openalex.org/S4363608948","display_name":"Proceedings of the 2010 Winter Simulation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2010 Winter Simulation Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.416.471","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.416.471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.informs-sim.org/wsc10papers/095.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1554003327","https://openalex.org/W1993614146","https://openalex.org/W2066148333","https://openalex.org/W2124741337","https://openalex.org/W2150312211","https://openalex.org/W2746759718","https://openalex.org/W3144020896","https://openalex.org/W4210616753","https://openalex.org/W4235700536","https://openalex.org/W6633391228","https://openalex.org/W6680760640"],"related_works":["https://openalex.org/W1964655178","https://openalex.org/W4254851101","https://openalex.org/W2032854653","https://openalex.org/W3171007296","https://openalex.org/W22115721","https://openalex.org/W3027407481","https://openalex.org/W2091794545","https://openalex.org/W2085338444","https://openalex.org/W2796348713","https://openalex.org/W2317978638"],"abstract_inverted_index":{"Notions":[0],"from":[1],"agent":[2],"based":[3],"modeling":[4],"(ABM)":[5],"can":[6,101],"be":[7,102],"used":[8],"to":[9,75,96,107,125],"simulate":[10,76],"multivariate":[11,36],"time":[12,37,81,99,131],"series.":[13,82],"An":[14],"example":[15],"is":[16,39,122],"given":[17],"using":[18],"the":[19,26,42,50,79,87,94,97,109,112,115,119],"ABM":[20],"concept":[21],"of":[22,28,44,53,68,78,89,93,111],"flocking,":[23],"which":[24],"models":[25],"behaviors":[27],"birds":[29],"(called":[30],"boids)":[31],"in":[32,133],"a":[33,45,54],"flock.":[34],"A":[35],"series":[38,100,132],"mapped":[40,73],"into":[41],"coordinates":[43,67],"bounded":[46],"orthotope.":[47],"This":[48],"represents":[49],"flight":[51],"path":[52],"boid.":[55,65],"Other":[56],"boids":[57,71],"are":[58,72],"generated":[59],"that":[60,114],"flock":[61,84],"around":[62],"this":[63,134],"data":[64],"The":[66,83,91],"these":[69],"new":[70],"back":[74],"replicates":[77,95],"original":[80,98],"size":[85],"determines":[86],"number":[88],"replicates.":[90],"similarity":[92],"controlled":[103],"by":[104],"flocking":[105],"parameters":[106],"reflect":[108],"strength":[110],"belief":[113],"future":[116],"will":[117],"mimic":[118],"past.":[120],"It":[121],"potentially":[123],"possible":[124],"replicate":[126],"general":[127],"non-stationary,":[128],"dependent,":[129],"high-dimensional":[130],"manner.":[135]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}