{"id":"https://openalex.org/W2954109230","doi":"https://doi.org/10.1140/epjds/s13688-020-0220-x","title":"The shocklet transform: a decomposition method for the identification of local, mechanism-driven dynamics in sociotechnical time series","display_name":"The shocklet transform: a decomposition method for the identification of local, mechanism-driven dynamics in sociotechnical time series","publication_year":2020,"publication_date":"2020-02-07","ids":{"openalex":"https://openalex.org/W2954109230","doi":"https://doi.org/10.1140/epjds/s13688-020-0220-x","mag":"2954109230"},"language":"en","primary_location":{"id":"doi:10.1140/epjds/s13688-020-0220-x","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-020-0220-x","pdf_url":"https://epjdatascience.springeropen.com/track/pdf/10.1140/epjds/s13688-020-0220-x.pdf","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://epjdatascience.springeropen.com/track/pdf/10.1140/epjds/s13688-020-0220-x.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047121345","display_name":"David Rushing Dewhurst","orcid":"https://orcid.org/0000-0001-6130-1833"},"institutions":[{"id":"https://openalex.org/I111236770","display_name":"University of Vermont","ror":"https://ror.org/0155zta11","country_code":"US","type":"education","lineage":["https://openalex.org/I111236770"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Rushing Dewhurst","raw_affiliation_strings":["Computational Story Lab, Vermont Complex Systems Center, University of Vermont, Burlington, United States","Department of Mathematics & Statistics, University of Vermont, Burlington, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Story Lab, Vermont Complex Systems Center, University of Vermont, Burlington, United States","institution_ids":["https://openalex.org/I111236770"]},{"raw_affiliation_string":"Department of Mathematics & Statistics, University of Vermont, Burlington, United States","institution_ids":["https://openalex.org/I111236770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015816708","display_name":"Thayer Alshaabi","orcid":"https://orcid.org/0000-0002-8971-4434"},"institutions":[{"id":"https://openalex.org/I111236770","display_name":"University of Vermont","ror":"https://ror.org/0155zta11","country_code":"US","type":"education","lineage":["https://openalex.org/I111236770"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thayer Alshaabi","raw_affiliation_strings":["Computational Story Lab, Vermont Complex Systems Center, University of Vermont, Burlington, United States","Department of Computer Science, University of Vermont, Burlington, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Story Lab, Vermont Complex Systems Center, University of Vermont, Burlington, United States","institution_ids":["https://openalex.org/I111236770"]},{"raw_affiliation_string":"Department of Computer Science, University of Vermont, Burlington, United States","institution_ids":["https://openalex.org/I111236770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050995537","display_name":"Dilan Kiley","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149135","display_name":"Zillow Group (United States)","ror":"https://ror.org/03n86v874","country_code":"US","type":"company","lineage":["https://openalex.org/I4210149135"]},{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dilan Kiley","raw_affiliation_strings":["Zillow Group, Seattle, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zillow Group, Seattle, United States","institution_ids":["https://openalex.org/I4210149135","https://openalex.org/I58610484"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102965438","display_name":"Matthew Arnold","orcid":"https://orcid.org/0000-0002-5796-4578"},"institutions":[{"id":"https://openalex.org/I111236770","display_name":"University of Vermont","ror":"https://ror.org/0155zta11","country_code":"US","type":"education","lineage":["https://openalex.org/I111236770"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael V. Arnold","raw_affiliation_strings":["Computational Story Lab, Vermont Complex Systems Center, University of Vermont, Burlington, United States","Department of Mathematics & Statistics, University of Vermont, Burlington, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Story Lab, Vermont Complex Systems Center, University of Vermont, Burlington, United States","institution_ids":["https://openalex.org/I111236770"]},{"raw_affiliation_string":"Department of Mathematics & Statistics, University of Vermont, Burlington, United States","institution_ids":["https://openalex.org/I111236770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059048502","display_name":"Joshua R. Minot","orcid":null},"institutions":[{"id":"https://openalex.org/I111236770","display_name":"University of Vermont","ror":"https://ror.org/0155zta11","country_code":"US","type":"education","lineage":["https://openalex.org/I111236770"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joshua R. Minot","raw_affiliation_strings":["Computational Story Lab, Vermont Complex Systems Center, University of Vermont, Burlington, United States","Department of Mathematics & Statistics, University of Vermont, Burlington, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Story Lab, Vermont Complex Systems Center, University of Vermont, Burlington, United States","institution_ids":["https://openalex.org/I111236770"]},{"raw_affiliation_string":"Department of Mathematics & Statistics, University of Vermont, Burlington, United States","institution_ids":["https://openalex.org/I111236770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002034958","display_name":"Christopher M. Danforth","orcid":"https://orcid.org/0000-0002-9857-2845"},"institutions":[{"id":"https://openalex.org/I111236770","display_name":"University of Vermont","ror":"https://ror.org/0155zta11","country_code":"US","type":"education","lineage":["https://openalex.org/I111236770"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher M. Danforth","raw_affiliation_strings":["Computational Story Lab, Vermont Complex Systems Center, University of Vermont, Burlington, United States","Department of Mathematics & Statistics, University of Vermont, Burlington, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Story Lab, Vermont Complex Systems Center, University of Vermont, Burlington, United States","institution_ids":["https://openalex.org/I111236770"]},{"raw_affiliation_string":"Department of Mathematics & Statistics, University of Vermont, Burlington, United States","institution_ids":["https://openalex.org/I111236770"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040821463","display_name":"Peter Sheridan Dodds","orcid":"https://orcid.org/0000-0003-1973-8614"},"institutions":[{"id":"https://openalex.org/I111236770","display_name":"University of Vermont","ror":"https://ror.org/0155zta11","country_code":"US","type":"education","lineage":["https://openalex.org/I111236770"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter Sheridan Dodds","raw_affiliation_strings":["Computational Story Lab, Vermont Complex Systems Center, University of Vermont, Burlington, United States","Department of Mathematics & Statistics, University of Vermont, Burlington, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Story Lab, Vermont Complex Systems Center, University of Vermont, Burlington, United States","institution_ids":["https://openalex.org/I111236770"]},{"raw_affiliation_string":"Department of Mathematics & Statistics, University of Vermont, Burlington, United States","institution_ids":["https://openalex.org/I111236770"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1190,"currency":"GBP","value_usd":1459},"apc_paid":{"value":1190,"currency":"GBP","value_usd":1459},"fwci":0.6082,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64744635,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"9","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9936000108718872,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9936000108718872,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9912999868392944,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.954800009727478,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sociotechnical-system","display_name":"Sociotechnical system","score":0.7580949664115906},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6371961236000061},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5847823023796082},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4889613389968872},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4553738534450531},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.44528502225875854},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.44466885924339294},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.41642022132873535},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.41406843066215515},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40678441524505615},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.370327889919281},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3627961277961731},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34805500507354736},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.27420997619628906},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12967520952224731}],"concepts":[{"id":"https://openalex.org/C127627568","wikidata":"https://www.wikidata.org/wiki/Q1639361","display_name":"Sociotechnical system","level":2,"score":0.7580949664115906},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6371961236000061},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5847823023796082},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4889613389968872},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4553738534450531},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.44528502225875854},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.44466885924339294},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.41642022132873535},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.41406843066215515},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40678441524505615},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.370327889919281},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3627961277961731},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34805500507354736},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.27420997619628906},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12967520952224731},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.1140/epjds/s13688-020-0220-x","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-020-0220-x","pdf_url":"https://epjdatascience.springeropen.com/track/pdf/10.1140/epjds/s13688-020-0220-x.pdf","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1906.11710","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.11710","pdf_url":"https://arxiv.org/pdf/1906.11710","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":null,"raw_type":"text"},{"id":"mag:2954109230","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1906.11710","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":"pmh:oai:scholarworks.uvm.edu:cemsfac-1013","is_oa":true,"landing_page_url":"https://scholarworks.uvm.edu/cemsfac/14","pdf_url":null,"source":{"id":"https://openalex.org/S4377196529","display_name":"ScholarWorks -A service of University of Vermont Libraries (University of Vermont)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I111236770","host_organization_name":"University of Vermont","host_organization_lineage":["https://openalex.org/I111236770"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"College of Engineering and Mathematical Sciences Faculty Publications","raw_type":"text"},{"id":"pmh:oai:doaj.org/article:e1cc6fa658104223bc62a31bf4ebb9ff","is_oa":true,"landing_page_url":"https://doaj.org/article/e1cc6fa658104223bc62a31bf4ebb9ff","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EPJ Data Science, Vol 9, Iss 1, Pp 1-36 (2020)","raw_type":"article"},{"id":"pmh:oai:scholarworks.uvm.edu:20.500.14849/582","is_oa":true,"landing_page_url":"https://hdl.handle.net/20.500.14849/582","pdf_url":null,"source":{"id":"https://openalex.org/S4377196529","display_name":"ScholarWorks -A service of University of Vermont Libraries (University of Vermont)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I111236770","host_organization_name":"University of Vermont","host_organization_lineage":["https://openalex.org/I111236770"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"doi:10.48550/arxiv.1906.11710","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1906.11710","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":"doi:10.1140/epjds/s13688-020-0220-x","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-020-0220-x","pdf_url":"https://epjdatascience.springeropen.com/track/pdf/10.1140/epjds/s13688-020-0220-x.pdf","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6064798142","display_name":"BIGDATA: F: DKA: CSD: Iterative Crowdsourced Hypothesis Generation","funder_award_id":"1447634","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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2954109230.pdf","grobid_xml":"https://content.openalex.org/works/W2954109230.grobid-xml"},"referenced_works_count":98,"referenced_works":["https://openalex.org/W53887678","https://openalex.org/W93424348","https://openalex.org/W161049316","https://openalex.org/W1442292319","https://openalex.org/W1484077065","https://openalex.org/W1491931038","https://openalex.org/W1496108247","https://openalex.org/W1497972539","https://openalex.org/W1511202191","https://openalex.org/W1521478692","https://openalex.org/W1523767002","https://openalex.org/W1649821320","https://openalex.org/W1784044093","https://openalex.org/W1850247876","https://openalex.org/W1871988015","https://openalex.org/W1880262756","https://openalex.org/W1964804578","https://openalex.org/W1969456163","https://openalex.org/W1971022913","https://openalex.org/W1971353559","https://openalex.org/W1974417931","https://openalex.org/W1974716003","https://openalex.org/W1975990112","https://openalex.org/W1979130691","https://openalex.org/W1998266233","https://openalex.org/W2001103857","https://openalex.org/W2006761437","https://openalex.org/W2008515415","https://openalex.org/W2012628772","https://openalex.org/W2014644667","https://openalex.org/W2022367269","https://openalex.org/W2023221841","https://openalex.org/W2023352942","https://openalex.org/W2024783975","https://openalex.org/W2027038432","https://openalex.org/W2033273362","https://openalex.org/W2033390084","https://openalex.org/W2034122536","https://openalex.org/W2038793346","https://openalex.org/W2042034885","https://openalex.org/W2047940964","https://openalex.org/W2049208352","https://openalex.org/W2058465497","https://openalex.org/W2065460148","https://openalex.org/W2067019909","https://openalex.org/W2075007695","https://openalex.org/W2077610490","https://openalex.org/W2085954109","https://openalex.org/W2091464855","https://openalex.org/W2092224475","https://openalex.org/W2093606067","https://openalex.org/W2096179302","https://openalex.org/W2099366530","https://openalex.org/W2100718094","https://openalex.org/W2103016999","https://openalex.org/W2105510466","https://openalex.org/W2106163100","https://openalex.org/W2106777604","https://openalex.org/W2107856142","https://openalex.org/W2113271473","https://openalex.org/W2121208314","https://openalex.org/W2121936281","https://openalex.org/W2122646361","https://openalex.org/W2123329834","https://openalex.org/W2127492100","https://openalex.org/W2129503473","https://openalex.org/W2129871038","https://openalex.org/W2132000172","https://openalex.org/W2138087993","https://openalex.org/W2147275227","https://openalex.org/W2152328854","https://openalex.org/W2157678754","https://openalex.org/W2164274563","https://openalex.org/W2165349155","https://openalex.org/W2171868047","https://openalex.org/W2172165822","https://openalex.org/W2273778880","https://openalex.org/W2524973732","https://openalex.org/W2527457764","https://openalex.org/W2538396016","https://openalex.org/W2555077524","https://openalex.org/W2584499795","https://openalex.org/W2597017779","https://openalex.org/W2766766691","https://openalex.org/W2772177579","https://openalex.org/W2805089775","https://openalex.org/W2902096938","https://openalex.org/W2939088842","https://openalex.org/W2953177865","https://openalex.org/W2962848499","https://openalex.org/W2992818769","https://openalex.org/W3012263732","https://openalex.org/W3093578674","https://openalex.org/W3121318964","https://openalex.org/W3169372665","https://openalex.org/W4211068006","https://openalex.org/W4233511778","https://openalex.org/W4239372721"],"related_works":["https://openalex.org/W2901964544","https://openalex.org/W2054685200","https://openalex.org/W2927629364","https://openalex.org/W2896286750","https://openalex.org/W2951061033","https://openalex.org/W3083149031","https://openalex.org/W2794066488","https://openalex.org/W2339508034","https://openalex.org/W2978901382","https://openalex.org/W3007969067","https://openalex.org/W3158265144","https://openalex.org/W3010372273","https://openalex.org/W2756023359","https://openalex.org/W3011045804","https://openalex.org/W3115004345","https://openalex.org/W3005359691","https://openalex.org/W3033157875","https://openalex.org/W2471063652","https://openalex.org/W2901203181","https://openalex.org/W2998708055"],"abstract_inverted_index":{"Abstract":[0],"We":[1],"introduce":[2],"a":[3,87,104,111,128,135],"qualitative,":[4],"shape-based,":[5],"timescale-independent":[6],"time-domain":[7],"transform":[8],"used":[9,56],"to":[10,82,96,125],"extract":[11,126],"local":[12,132],"dynamics":[13,85,133],"from":[14,53],"sociotechnical":[15,105],"time":[16,37,43,61],"series\u2014termed":[17],"the":[18,28,67,79],"Discrete":[19],"Shocklet":[20,29],"Transform":[21,30],"(DST)\u2014and":[22],"an":[23,100],"associated":[24],"similarity":[25,63],"search":[26],"routine,":[27],"And":[31],"Ranking":[32],"(STAR)":[33],"algorithm,":[34],"that":[35],"indicates":[36],"windows":[38],"during":[39],"which":[40],"panels":[41],"of":[42,90,113,130,138],"series":[44,62],"display":[45],"qualitatively-similar":[46],"anomalous":[47],"behavior.":[48],"After":[49],"distinguishing":[50],"our":[51,119],"algorithms":[52],"other":[54],"methods":[55],"in":[57],"anomaly":[58],"detection":[59],"and":[60,72,92,117,134],"search,":[64],"such":[65],"as":[66,141],"matrix":[68],"profile,":[69],"seasonal-hybrid":[70],"ESD,":[71],"discrete":[73],"wavelet":[74],"transform-based":[75],"procedures,":[76],"we":[77,102],"demonstrate":[78],"DST\u2019s":[80],"ability":[81],"identify":[83],"mechanism-driven":[84],"at":[86],"wide":[88],"range":[89],"timescales":[91],"its":[93],"relative":[94],"insensitivity":[95],"functional":[97],"parameterization.":[98],"As":[99],"application,":[101],"analyze":[103],"data":[106],"source":[107],"(usage":[108],"frequencies":[109],"for":[110],"subset":[112],"words":[114],"on":[115],"Twitter)":[116],"highlight":[118],"algorithms\u2019":[120],"utility":[121],"by":[122,143],"using":[123],"them":[124],"both":[127],"typology":[129],"mechanistic":[131],"data-driven":[136],"narrative":[137],"socially-important":[139],"events":[140],"perceived":[142],"English-language":[144],"Twitter.":[145]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"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"}