{"id":"https://openalex.org/W2765832025","doi":"https://doi.org/10.1145/3148044.3148049","title":"Animated Flow Maps for Visualizing Human Movement","display_name":"Animated Flow Maps for Visualizing Human Movement","publication_year":2017,"publication_date":"2017-10-27","ids":{"openalex":"https://openalex.org/W2765832025","doi":"https://doi.org/10.1145/3148044.3148049","mag":"2765832025"},"language":"en","primary_location":{"id":"doi:10.1145/3148044.3148049","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3148044.3148049","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM SIGSPATIAL Workshop on Analytics for Local Events and News","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/A5064061941","display_name":"Su Yeon Han","orcid":"https://orcid.org/0000-0002-3906-4533"},"institutions":[{"id":"https://openalex.org/I26538001","display_name":"San Diego State University","ror":"https://ror.org/0264fdx42","country_code":"US","type":"education","lineage":["https://openalex.org/I26538001"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Su Yeon Han","raw_affiliation_strings":["Department of Geography, San Diego State University, CA, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography, San Diego State University, CA, U.S.A","institution_ids":["https://openalex.org/I26538001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037329012","display_name":"Keith Clarke","orcid":"https://orcid.org/0000-0001-5805-6056"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keith C. Clarke","raw_affiliation_strings":["Department of Geography, University of California, Santa Barbara, CA, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography, University of California, Santa Barbara, CA, U.S.A","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021407370","display_name":"Ming\u2010Hsiang Tsou","orcid":"https://orcid.org/0000-0003-3421-486X"},"institutions":[{"id":"https://openalex.org/I26538001","display_name":"San Diego State University","ror":"https://ror.org/0264fdx42","country_code":"US","type":"education","lineage":["https://openalex.org/I26538001"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming-Hsiang Tsou","raw_affiliation_strings":["Department of Geography, San Diego State University, CA, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography, San Diego State University, CA, U.S.A","institution_ids":["https://openalex.org/I26538001"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0924,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.48502505,"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":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9937000274658203,"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"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9937000274658203,"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"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9699000120162964,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.7483583688735962},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7301698327064514},{"id":"https://openalex.org/keywords/flow-map","display_name":"Flow map","score":0.6415817737579346},{"id":"https://openalex.org/keywords/flow-visualization","display_name":"Flow visualization","score":0.6087750792503357},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.5978658199310303},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5183040499687195},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49496930837631226},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.4819190800189972},{"id":"https://openalex.org/keywords/flow-line","display_name":"Flow line","score":0.44058090448379517},{"id":"https://openalex.org/keywords/movement","display_name":"Movement (music)","score":0.4192469120025635},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3297874629497528},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.20692363381385803},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.17021480202674866},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10947051644325256},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.09671375155448914},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07373043894767761}],"concepts":[{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.7483583688735962},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7301698327064514},{"id":"https://openalex.org/C25902001","wikidata":"https://www.wikidata.org/wiki/Q1024820","display_name":"Flow map","level":3,"score":0.6415817737579346},{"id":"https://openalex.org/C83893533","wikidata":"https://www.wikidata.org/wiki/Q5462121","display_name":"Flow visualization","level":3,"score":0.6087750792503357},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5978658199310303},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5183040499687195},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49496930837631226},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.4819190800189972},{"id":"https://openalex.org/C2777425979","wikidata":"https://www.wikidata.org/wiki/Q5462102","display_name":"Flow line","level":2,"score":0.44058090448379517},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.4192469120025635},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3297874629497528},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.20692363381385803},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.17021480202674866},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10947051644325256},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.09671375155448914},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07373043894767761},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3148044.3148049","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3148044.3148049","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM SIGSPATIAL Workshop on Analytics for Local Events and News","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G5366941210","display_name":"IBSS: Spatiotemporal Modeling of Human Dynamics Across Social Media and Social Networks","funder_award_id":"1416509","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1519168681","https://openalex.org/W1547533132","https://openalex.org/W1593641494","https://openalex.org/W1737853022","https://openalex.org/W1776191302","https://openalex.org/W1966470704","https://openalex.org/W2012975208","https://openalex.org/W2034636363","https://openalex.org/W2055635454","https://openalex.org/W2069407360","https://openalex.org/W2086192614","https://openalex.org/W2095759957","https://openalex.org/W2102427929","https://openalex.org/W2107505299","https://openalex.org/W2117088188","https://openalex.org/W2129449798","https://openalex.org/W2145640629","https://openalex.org/W2148056538","https://openalex.org/W2155843307","https://openalex.org/W2276103984","https://openalex.org/W2288322410","https://openalex.org/W2296620233","https://openalex.org/W4211005722","https://openalex.org/W4244687951"],"related_works":["https://openalex.org/W414715144","https://openalex.org/W2385466162","https://openalex.org/W4377980779","https://openalex.org/W2114784448","https://openalex.org/W2176107405","https://openalex.org/W2161008033","https://openalex.org/W2318948102","https://openalex.org/W2601986939","https://openalex.org/W2765832025","https://openalex.org/W2962292607"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,18,26,74,121],"novel":[3],"flow":[4,12,19,27,35,138],"mapping":[5,13,36,139],"method":[6,85],"called":[7],"Animated":[8,61,131],"Flow":[9,62,132],"Mapper.":[10],"Conventional":[11],"uses":[14,86],"the":[15,23,32,79,82,98,127,130],"thickness":[16],"of":[17,25,42,49,69,78,81,90,102,104,120,129],"line":[20],"to":[21,30,65,72,96,136],"differentiate":[22],"volume":[24],"and":[28,51,71,100,118],"arrows":[29],"represent":[31,97],"direction.":[33],"These":[34],"methods":[37],"have":[38],"suffered":[39],"from":[40],"problems":[41,68],"occlusion":[43,70],"especially":[44],"for":[45],"visualizing":[46],"large":[47],"volumes":[48,101],"data,":[50],"when":[52],"many":[53],"flows":[54,103],"converge":[55],"at--or":[56],"diverge":[57],"from--single":[58],"points.":[59],"The":[60,84,115],"Mapper":[63,133],"aims":[64],"circumvent":[66],"these":[67],"provide":[73],"more":[75],"effective":[76],"visualization":[77],"patterns":[80],"flows.":[83],"thin":[87],"dashed":[88],"lines":[89],"equal":[91],"width,":[92],"which":[93],"are":[94,134],"animated":[95],"directions":[99],"moving":[105],"objects":[106],"by":[107],"repeatedly":[108],"redrawing":[109],"each":[110],"dashed-line":[111],"at":[112],"different":[113],"speeds.":[114],"case":[116],"studies":[117],"results":[119],"human":[122],"subject":[123],"opinion":[124],"survey":[125],"show":[126],"advantages":[128],"comparable":[135],"other":[137],"methods.":[140]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-22T08:00:12.763002","created_date":"2025-10-10T00:00:00"}