{"id":"https://openalex.org/W3183084191","doi":"https://doi.org/10.1140/epjds/s13688-021-00292-9","title":"State-space models reveal bursty movement behaviour of dance event visitors","display_name":"State-space models reveal bursty movement behaviour of dance event visitors","publication_year":2021,"publication_date":"2021-07-06","ids":{"openalex":"https://openalex.org/W3183084191","doi":"https://doi.org/10.1140/epjds/s13688-021-00292-9","mag":"3183084191"},"language":"en","primary_location":{"id":"doi:10.1140/epjds/s13688-021-00292-9","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-021-00292-9","pdf_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-021-00292-9","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":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-021-00292-9","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022916386","display_name":"Philip Rutten","orcid":null},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Philip Rutten","raw_affiliation_strings":["Informatics Institute, University of Amsterdam, Science Park 904, 1098XH, Amsterdam, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Informatics Institute, University of Amsterdam, Science Park 904, 1098XH, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021090586","display_name":"Michael Lees","orcid":"https://orcid.org/0000-0002-5457-9180"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Michael H. Lees","raw_affiliation_strings":["Informatics Institute, University of Amsterdam, Science Park 904, 1098XH, Amsterdam, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Informatics Institute, University of Amsterdam, Science Park 904, 1098XH, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106976461","display_name":"S. Klous","orcid":"https://orcid.org/0000-0003-3830-2680"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Sander Klous","raw_affiliation_strings":["Informatics Institute, University of Amsterdam, Science Park 904, 1098XH, Amsterdam, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Informatics Institute, University of Amsterdam, Science Park 904, 1098XH, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016657852","display_name":"P.M.A. Sloot","orcid":"https://orcid.org/0000-0002-3848-5395"},"institutions":[{"id":"https://openalex.org/I55027601","display_name":"Netherlands Institute for Advanced Study in the Humanities and Social Sciences","ror":"https://ror.org/04z3wz653","country_code":"NL","type":"facility","lineage":["https://openalex.org/I1322597698","https://openalex.org/I55027601"]},{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Peter M. A. Sloot","raw_affiliation_strings":["Informatics Institute, University of Amsterdam, Science Park 904, 1098XH, Amsterdam, The Netherlands","Institute for Advanced Study, 1012 GC, Amsterdam, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Informatics Institute, University of Amsterdam, Science Park 904, 1098XH, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I887064364"]},{"raw_affiliation_string":"Institute for Advanced Study, 1012 GC, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I55027601"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5022916386"],"corresponding_institution_ids":["https://openalex.org/I887064364"],"apc_list":{"value":1190,"currency":"GBP","value_usd":1459},"apc_paid":{"value":1190,"currency":"GBP","value_usd":1459},"fwci":0.5205,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65369413,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"10","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"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":0.991599977016449,"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/T13187","display_name":"Diffusion and Search Dynamics","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/crowds","display_name":"Crowds","score":0.8629335165023804},{"id":"https://openalex.org/keywords/movement","display_name":"Movement (music)","score":0.7712550163269043},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.6834110021591187},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5579662322998047},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.437447726726532},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4292319416999817},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.348449170589447},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.32090985774993896},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.21304795145988464},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1491735577583313},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10803315043449402},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08830299973487854}],"concepts":[{"id":"https://openalex.org/C2777852691","wikidata":"https://www.wikidata.org/wiki/Q13430821","display_name":"Crowds","level":2,"score":0.8629335165023804},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.7712550163269043},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.6834110021591187},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5579662322998047},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.437447726726532},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4292319416999817},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.348449170589447},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.32090985774993896},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.21304795145988464},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1491735577583313},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10803315043449402},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08830299973487854},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","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},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1140/epjds/s13688-021-00292-9","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-021-00292-9","pdf_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-021-00292-9","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:dare.uva.nl:openaire_cris_publications/5c6b7ca4-5264-417f-99a0-647574d64da2","is_oa":true,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/statespace-models-reveal-bursty-movement-behaviour-of-dance-event-visitors(5c6b7ca4-5264-417f-99a0-647574d64da2).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Rutten, P, Lees, M H, Klous, S & Sloot, P M A 2021, 'State-space models reveal bursty movement behaviour of dance event visitors', EPJ Data Science, vol. 10, 35. https://doi.org/10.1140/epjds/s13688-021-00292-9","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:dare.uva.nl:publications/5c6b7ca4-5264-417f-99a0-647574d64da2","is_oa":false,"landing_page_url":"http://hdl.handle.net/11245.1/5c6b7ca4-5264-417f-99a0-647574d64da2","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:dare.uva.nl:publications/5c6b7ca4-5264-417f-99a0-647574d64da2","is_oa":true,"landing_page_url":"https://hdl.handle.net/11245.1/5c6b7ca4-5264-417f-99a0-647574d64da2","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"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":"Rutten, P, Lees, M H, Klous, S & Sloot, P M A 2021, 'State-space models reveal bursty movement behaviour of dance event visitors', EPJ Data Science, vol. 10, 35. https://doi.org/10.1140/epjds/s13688-021-00292-9","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:doaj.org/article:9123b4528a7a4e40af41ab4c00a3dbba","is_oa":true,"landing_page_url":"https://doaj.org/article/9123b4528a7a4e40af41ab4c00a3dbba","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 10, Iss 1, Pp 1-26 (2021)","raw_type":"article"},{"id":"pmh:uvapub:oai:dare.uva.nl:publications/5c6b7ca4-5264-417f-99a0-647574d64da2","is_oa":true,"landing_page_url":"https://dare.uva.nl/personal/pure/en/publications/statespace-models-reveal-bursty-movement-behaviour-of-dance-event-visitors(5c6b7ca4-5264-417f-99a0-647574d64da2).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EPJ Data Science, 10(35):35. SpringerOpen","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1140/epjds/s13688-021-00292-9","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-021-00292-9","pdf_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-021-00292-9","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":[{"id":"https://metadata.un.org/sdg/11","score":0.6600000262260437,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G3187727328","display_name":null,"funder_award_id":"027.015.001","funder_id":"https://openalex.org/F4320314239","funder_display_name":"Netherlands eScience Center"},{"id":"https://openalex.org/G5927205862","display_name":null,"funder_award_id":"027.015","funder_id":"https://openalex.org/F4320314239","funder_display_name":"Netherlands eScience Center"}],"funders":[{"id":"https://openalex.org/F4320314239","display_name":"Netherlands eScience Center","ror":"https://ror.org/00rbjv475"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3183084191.pdf","grobid_xml":"https://content.openalex.org/works/W3183084191.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W128659739","https://openalex.org/W142131438","https://openalex.org/W379204093","https://openalex.org/W587526748","https://openalex.org/W1491456881","https://openalex.org/W1546286537","https://openalex.org/W1565664369","https://openalex.org/W1838299044","https://openalex.org/W1883186006","https://openalex.org/W1888172398","https://openalex.org/W1908974388","https://openalex.org/W1966750113","https://openalex.org/W1972309850","https://openalex.org/W1972724889","https://openalex.org/W1973253288","https://openalex.org/W1978939541","https://openalex.org/W1982300822","https://openalex.org/W1987795012","https://openalex.org/W2000042664","https://openalex.org/W2003152501","https://openalex.org/W2009435671","https://openalex.org/W2011647211","https://openalex.org/W2014767144","https://openalex.org/W2018791357","https://openalex.org/W2025555808","https://openalex.org/W2027471671","https://openalex.org/W2045656233","https://openalex.org/W2049176600","https://openalex.org/W2052229889","https://openalex.org/W2056284729","https://openalex.org/W2057314736","https://openalex.org/W2080842868","https://openalex.org/W2084538642","https://openalex.org/W2088856850","https://openalex.org/W2120887477","https://openalex.org/W2133286823","https://openalex.org/W2133400794","https://openalex.org/W2140531577","https://openalex.org/W2148534890","https://openalex.org/W2152510509","https://openalex.org/W2152516857","https://openalex.org/W2156823485","https://openalex.org/W2167052694","https://openalex.org/W2170486501","https://openalex.org/W2170633964","https://openalex.org/W2174658526","https://openalex.org/W2240131255","https://openalex.org/W2260142329","https://openalex.org/W2261655856","https://openalex.org/W2413085047","https://openalex.org/W2460371694","https://openalex.org/W2521503801","https://openalex.org/W2563400789","https://openalex.org/W2773050805","https://openalex.org/W2798056406","https://openalex.org/W2963978069","https://openalex.org/W3093601948","https://openalex.org/W3103362336","https://openalex.org/W4240342581","https://openalex.org/W4248681815","https://openalex.org/W4250389103","https://openalex.org/W4292081177"],"related_works":["https://openalex.org/W4240200267","https://openalex.org/W1511510665","https://openalex.org/W2154955495","https://openalex.org/W1749168706","https://openalex.org/W606709926","https://openalex.org/W2980347456","https://openalex.org/W1643071209","https://openalex.org/W4299159492","https://openalex.org/W422913495","https://openalex.org/W2148067325"],"abstract_inverted_index":{"Abstract":[0],"Pedestrian":[1],"movements":[2,169],"during":[3,46],"large":[4,47],"crowded":[5],"events":[6,49],"naturally":[7],"consist":[8],"of":[9,12,75,87,97,109,115,119,133,154,187],"different":[10],"modes":[11],"movement":[13,23,38,76,89,99,156],"behaviour.":[14],"Despite":[15],"its":[16],"importance":[17],"for":[18,161,179],"understanding":[19],"crowd":[20,32,174],"dynamics,":[21,157],"intermittent":[22,67],"behaviour":[24,33,175],"is":[25,106,141],"an":[26],"aspect":[27],"missing":[28],"in":[29,50,57,117,170],"the":[30,51,61,73,113,120,131,138,162,185],"existing":[31],"literature.":[34],"Here":[35],"we":[36,128],"analyse":[37,81],"data":[39],"generated":[40],"from":[41,72,137],"nearly":[42],"600":[43],"Wi-Fi":[44],"sensors":[45],"entertainment":[48],"Johan":[52],"Cruijff":[53],"ArenA":[54],"football":[55],"stadium":[56],"Amsterdam.":[58],"We":[59,101],"use":[60],"state-space":[62],"modeling":[63],"framework":[64],"to":[65,80,93,166],"investigate":[66,94],"motion":[68],"patterns.":[69],"Movement":[70],"models":[71],"field":[74],"ecology":[77],"are":[78,152,159],"used":[79],"individual":[82],"pedestrian":[83,168],"movement.":[84],"Joint":[85],"estimation":[86],"multiple":[88],"tracks":[90],"allows":[91],"us":[92],"statistical":[95],"properties":[96],"measured":[98],"metrics.":[100],"show":[102,129],"that":[103,130],"behavioural":[104,121],"switching":[105],"not":[107],"independent":[108],"external":[110],"events,":[111],"and":[112,140],"probability":[114],"being":[116],"one":[118],"states":[122],"changes":[123],"over":[124],"time.":[125],"In":[126],"addition,":[127],"distribution":[132],"waiting":[134,150],"times":[135,151],"deviates":[136],"exponential":[139],"best":[142],"fit":[143],"by":[144],"a":[145],"heavy-tailed":[146,149],"distribution.":[147],"The":[148],"indicative":[153],"bursty":[155],"which":[158],"here":[160],"first":[163],"time":[164],"shown":[165],"characterise":[167],"dense":[171],"crowds.":[172],"Bursty":[173],"has":[176],"important":[177],"implications":[178],"various":[180],"diffusion-related":[181],"processes,":[182],"such":[183],"as":[184],"spreading":[186],"infectious":[188],"diseases.":[189]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
