{"id":"https://openalex.org/W3204415071","doi":"https://doi.org/10.1109/tvcg.2021.3114875","title":"Compass: Towards Better Causal Analysis of Urban Time Series","display_name":"Compass: Towards Better Causal Analysis of Urban Time Series","publication_year":2021,"publication_date":"2021-10-02","ids":{"openalex":"https://openalex.org/W3204415071","doi":"https://doi.org/10.1109/tvcg.2021.3114875","mag":"3204415071","pmid":"https://pubmed.ncbi.nlm.nih.gov/34596550"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2021.3114875","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2021.3114875","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5082213932","display_name":"Zikun Deng","orcid":"https://orcid.org/0000-0002-4477-5292"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zikun Deng","raw_affiliation_strings":["State Key Lab of CAD & CG, Zhejiang University, Hangzhou and Zhejiang Lab, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of CAD & CG, Zhejiang University, Hangzhou and Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185","https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088199295","display_name":"Di Weng","orcid":"https://orcid.org/0000-0003-2712-7274"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]},{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Weng","raw_affiliation_strings":["State Key Lab of CAD & CG, Zhejiang University, Hangzhou and Zhejiang Lab, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of CAD & CG, Zhejiang University, Hangzhou and Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185","https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078565296","display_name":"Xiao Xie","orcid":"https://orcid.org/0000-0002-2135-5236"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Xie","raw_affiliation_strings":["Department of Sport Science, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Sport Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060363706","display_name":"Jie Bao","orcid":"https://orcid.org/0000-0002-5642-1993"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Bao","raw_affiliation_strings":["JD Intelligent Cities Research, JD Tech, Beijing, China"],"affiliations":[{"raw_affiliation_string":"JD Intelligent Cities Research, JD Tech, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100681023","display_name":"Yu Zheng","orcid":"https://orcid.org/0000-0002-5224-4344"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zheng","raw_affiliation_strings":["JD Intelligent Cities Research, JD Tech, Beijing, China"],"affiliations":[{"raw_affiliation_string":"JD Intelligent Cities Research, JD Tech, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081346568","display_name":"Mingliang Xu","orcid":"https://orcid.org/0000-0002-6885-3451"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingliang Xu","raw_affiliation_strings":["Henan Institute of Advanced Technology, Zhengzhou University, Zhengzhou, China","School of Information Engineering, Zhengzhou University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"Henan Institute of Advanced Technology, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"School of Information Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100344494","display_name":"Wei Chen","orcid":"https://orcid.org/0000-0002-8365-4741"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Chen","raw_affiliation_strings":["State Key Lab of CAD & CG, Zhejiang University, Hangzhou and Zhejiang Lab, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of CAD & CG, Zhejiang University, Hangzhou and Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185","https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073986937","display_name":"Yingcai Wu","orcid":"https://orcid.org/0000-0002-1119-3237"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]},{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingcai Wu","raw_affiliation_strings":["State Key Lab of CAD & CG, Zhejiang University, Hangzhou and Zhejiang Lab, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of CAD & CG, Zhejiang University, Hangzhou and Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185","https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5082213932"],"corresponding_institution_ids":["https://openalex.org/I4210123185","https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":3.3996,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":{"value":0.93919454,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"28","issue":"1","first_page":"1051","last_page":"1061"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9997000098228455,"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":0.9997000098228455,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9980999827384949,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9401000142097473,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/causality","display_name":"Causality (physics)","score":0.7136232256889343},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6982641220092773},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.6463667154312134},{"id":"https://openalex.org/keywords/compass","display_name":"Compass","score":0.6431452035903931},{"id":"https://openalex.org/keywords/granger-causality","display_name":"Granger causality","score":0.6369780898094177},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6007017493247986},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.5318205952644348},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.49580249190330505},{"id":"https://openalex.org/keywords/causal-structure","display_name":"Causal structure","score":0.49170976877212524},{"id":"https://openalex.org/keywords/causal-model","display_name":"Causal model","score":0.4799371361732483},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42694538831710815},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4031996428966522},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4011981189250946},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3552214205265045},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3466816842556},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3442983329296112},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2954978942871094},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14773255586624146},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13150599598884583},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12819424271583557}],"concepts":[{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.7136232256889343},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6982641220092773},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.6463667154312134},{"id":"https://openalex.org/C2778361833","wikidata":"https://www.wikidata.org/wiki/Q34735","display_name":"Compass","level":2,"score":0.6431452035903931},{"id":"https://openalex.org/C129824826","wikidata":"https://www.wikidata.org/wiki/Q2630107","display_name":"Granger causality","level":2,"score":0.6369780898094177},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6007017493247986},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.5318205952644348},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.49580249190330505},{"id":"https://openalex.org/C163504300","wikidata":"https://www.wikidata.org/wiki/Q2364925","display_name":"Causal structure","level":2,"score":0.49170976877212524},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.4799371361732483},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42694538831710815},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4031996428966522},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4011981189250946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3552214205265045},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3466816842556},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3442983329296112},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2954978942871094},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14773255586624146},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13150599598884583},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12819424271583557},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvcg.2021.3114875","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2021.3114875","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:34596550","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34596550","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on visualization and computer graphics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8299999833106995,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G3558153797","display_name":null,"funder_award_id":"62072400","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8683862462","display_name":null,"funder_award_id":"LR18F020001","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":94,"referenced_works":["https://openalex.org/W138372711","https://openalex.org/W302995030","https://openalex.org/W884650706","https://openalex.org/W1518015152","https://openalex.org/W1519062167","https://openalex.org/W1893161884","https://openalex.org/W1899829068","https://openalex.org/W1916893613","https://openalex.org/W1927636871","https://openalex.org/W1948868775","https://openalex.org/W1949897911","https://openalex.org/W1978977691","https://openalex.org/W1980799317","https://openalex.org/W2009658718","https://openalex.org/W2019459021","https://openalex.org/W2020245429","https://openalex.org/W2024472792","https://openalex.org/W2038015239","https://openalex.org/W2051148835","https://openalex.org/W2065454200","https://openalex.org/W2065888990","https://openalex.org/W2087665966","https://openalex.org/W2088515074","https://openalex.org/W2106268337","https://openalex.org/W2110202581","https://openalex.org/W2112738128","https://openalex.org/W2126619073","https://openalex.org/W2143117649","https://openalex.org/W2145688713","https://openalex.org/W2150014546","https://openalex.org/W2178225550","https://openalex.org/W2185329967","https://openalex.org/W2287322623","https://openalex.org/W2342675664","https://openalex.org/W2495571292","https://openalex.org/W2508837977","https://openalex.org/W2545211134","https://openalex.org/W2557632452","https://openalex.org/W2593118993","https://openalex.org/W2594207464","https://openalex.org/W2605190822","https://openalex.org/W2728678699","https://openalex.org/W2744100271","https://openalex.org/W2751378044","https://openalex.org/W2766258773","https://openalex.org/W2795616078","https://openalex.org/W2809366716","https://openalex.org/W2810861266","https://openalex.org/W2888090831","https://openalex.org/W2890481183","https://openalex.org/W2897061464","https://openalex.org/W2906577465","https://openalex.org/W2912056372","https://openalex.org/W2952568980","https://openalex.org/W2958977657","https://openalex.org/W2963846027","https://openalex.org/W2963918231","https://openalex.org/W2969522460","https://openalex.org/W2969737323","https://openalex.org/W2972320057","https://openalex.org/W2978679454","https://openalex.org/W3005347330","https://openalex.org/W3018765797","https://openalex.org/W3021173937","https://openalex.org/W3043335493","https://openalex.org/W3043560476","https://openalex.org/W3046426511","https://openalex.org/W3080570305","https://openalex.org/W3081850804","https://openalex.org/W3082065933","https://openalex.org/W3088146920","https://openalex.org/W3091825402","https://openalex.org/W3092052003","https://openalex.org/W3092277776","https://openalex.org/W3092406696","https://openalex.org/W3092695393","https://openalex.org/W3101150805","https://openalex.org/W3101726431","https://openalex.org/W3114823909","https://openalex.org/W3122048303","https://openalex.org/W3126822356","https://openalex.org/W3128350226","https://openalex.org/W3137258220","https://openalex.org/W3150914812","https://openalex.org/W3152147466","https://openalex.org/W3155726456","https://openalex.org/W3175133585","https://openalex.org/W3202061481","https://openalex.org/W3203717592","https://openalex.org/W4291714342","https://openalex.org/W6610848595","https://openalex.org/W6696212614","https://openalex.org/W6776540046","https://openalex.org/W6776782209"],"related_works":["https://openalex.org/W2161504683","https://openalex.org/W2131643694","https://openalex.org/W2477954850","https://openalex.org/W2740541622","https://openalex.org/W2784306284","https://openalex.org/W2093587551","https://openalex.org/W2102630578","https://openalex.org/W4307313254","https://openalex.org/W1985230145","https://openalex.org/W3169419898"],"abstract_inverted_index":{"The":[0,59,196],"spatial":[1],"time":[2,53,100,128,131],"series":[3,54,132],"generated":[4],"by":[5],"city":[6],"sensors":[7],"allow":[8],"us":[9],"to":[10,31,47,74,154,181],"observe":[11],"urban":[12,36,80,99,112,130,210],"phenomena":[13,37],"like":[14],"environmental":[15],"pollution":[16,215],"and":[17,50,77,107,118,164,216,220],"traffic":[18,217],"congestion":[19],"at":[20],"an":[21],"unprecedented":[22],"scale.":[23],"However,":[24],"recovering":[25],"causal":[26,44,64,116,121,125,137,149,158,162,187,194],"relations":[27,45,159],"from":[28,141,225],"these":[29,43,161],"observations":[30],"explain":[32],"the":[33,95,142,156,166,169,172,183,191,208,213],"sources":[34],"of":[35,94,168,185,193,198],"remains":[38],"a":[39,86,136,147,175],"challenging":[40],"task":[41],"because":[42],"tend":[46],"be":[48,71],"time-varying":[49,157],"demand":[51],"proper":[52],"partitioning":[55],"for":[56,91],"effective":[57],"analyses.":[58,195],"prior":[60],"approaches":[61],"extract":[62],"one":[63],"graph":[65,150],"given":[66],"long-time":[67],"observations,":[68],"which":[69],"cannot":[70],"directly":[72],"applied":[73],"capturing,":[75],"interpreting,":[76],"validating":[78],"dynamic":[79,96,115,148],"causality.":[81],"This":[82],"paper":[83],"presents":[84],"Compass,":[85,104],"novel":[87],"visual":[88],"analytics":[89],"approach":[90],"in-depth":[92],"analyses":[93],"causality":[97,144],"in":[98],"series.":[101],"To":[102],"develop":[103],"we":[105],"identify":[106],"address":[108],"three":[109],"challenges:":[110],"detecting":[111],"causality,":[113],"interpreting":[114],"relations,":[117,188],"unveiling":[119],"suspicious":[120],"relations.":[122],"First,":[123],"multiple":[124],"graphs":[126,163,170],"over":[127],"among":[129],"are":[133],"obtained":[134],"with":[135,202],"detection":[138],"framework":[139],"extended":[140],"Granger":[143],"test.":[145],"Then,":[146],"visualization":[151,178],"is":[152,179,200],"designed":[153],"reveal":[155],"across":[160],"facilitate":[165],"exploration":[167],"along":[171],"time.":[173],"Finally,":[174],"tailored":[176],"multi-dimensional":[177],"developed":[180],"support":[182],"identification":[184],"spurious":[186],"thereby":[189],"improving":[190],"reliability":[192],"effectiveness":[197],"Compass":[199],"evaluated":[201],"two":[203],"case":[204],"studies":[205],"conducted":[206],"on":[207],"real-world":[209],"datasets,":[211,219],"including":[212],"air":[214],"speed":[218],"positive":[221],"feedback":[222],"was":[223],"received":[224],"domain":[226],"experts.":[227]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":11}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}