{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/1362825894124097792.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.1073/pnas.1013140107"}},{"identifier":{"@type":"URI","@value":"https://pnas.org/doi/pdf/10.1073/pnas.1013140107"}}],"dc:title":[{"@value":"Evidence for a bimodal distribution in human communication"}],"description":[{"type":"abstract","notation":[{"@value":"<jats:p>Interacting human activities underlie the patterns of many social, technological, and economic phenomena. Here we present clear empirical evidence from Short Message correspondence that observed human actions are the result of the interplay of three basic ingredients: Poisson initiation of tasks and decision making for task execution in individual humans as well as interaction among individuals. This interplay leads to new types of interevent time distribution, neither completely Poisson nor power-law, but a bimodal combination of them. We show that the events can be separated into independent bursts which are generated by frequent mutual interactions in short times following random initiations of communications in longer times by the individuals. We introduce a minimal model of two interacting priority queues incorporating the three basic ingredients which fits well the distributions using the parameters extracted from the empirical data. The model can also embrace a range of realistic social interacting systems such as e-mail and letter communications when taking the time scale of processing into account. Our findings provide insight into various human activities both at the individual and network level. Our analysis and modeling of bimodal activity in human communication from the viewpoint of the interplay between processes of different time scales is likely to shed light on bimodal phenomena in other complex systems, such as interevent times in earthquakes, rainfall, forest fire, and economic systems, etc.</jats:p>"}]}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1380576120429589122","@type":"Researcher","foaf:name":[{"@value":"Ye Wu"}],"jpcoar:affiliationName":[{"@value":"Potsdam Institute for Climate Impact Research, P.O. Box 60 12 03, 14412 Potsdam;"},{"@value":"School of Science, Beijing University of Posts and Telecommunications, Beijing, 100876, China;"},{"@value":"Interdisciplinary Center for Dynamics of Complex Systems, University Potsdam, Am Neuen Palais 10, D-14469, Germany;"}]},{"@id":"https://cir.nii.ac.jp/crid/1380576120429589121","@type":"Researcher","foaf:name":[{"@value":"Changsong Zhou"}],"jpcoar:affiliationName":[{"@value":"Department of Physics, Centre for Nonlinear Studies, and Beijing-Hong Kong-Singapore Joint Centre for Nonlinear and Complex Systems (Hong Kong), Hong Kong Baptist University, Kowloon Tong, Hong Kong, China; and"}]},{"@id":"https://cir.nii.ac.jp/crid/1380576120429589123","@type":"Researcher","foaf:name":[{"@value":"Jinghua Xiao"}],"jpcoar:affiliationName":[{"@value":"School of Science, Beijing University of Posts and Telecommunications, Beijing, 100876, China;"}]},{"@id":"https://cir.nii.ac.jp/crid/1380576120429589124","@type":"Researcher","foaf:name":[{"@value":"Jürgen Kurths"}],"jpcoar:affiliationName":[{"@value":"Potsdam Institute for Climate Impact Research, P.O. Box 60 12 03, 14412 Potsdam;"},{"@value":"Institute for Complex Systems and Mathematical Biology, University of Aberdeen, Aberdeen AB24 3UE, United Kingdom"}]},{"@id":"https://cir.nii.ac.jp/crid/1380576120429589120","@type":"Researcher","foaf:name":[{"@value":"Hans Joachim Schellnhuber"}],"jpcoar:affiliationName":[{"@value":"Potsdam Institute for Climate Impact Research, P.O. Box 60 12 03, 14412 Potsdam;"}]}],"publication":{"publicationIdentifier":[{"@type":"PISSN","@value":"00278424"},{"@type":"EISSN","@value":"10916490"}],"prism:publicationName":[{"@value":"Proceedings of the National Academy of Sciences"}],"dc:publisher":[{"@value":"Proceedings of the National Academy of Sciences"}],"prism:publicationDate":"2010-10-19","prism:volume":"107","prism:number":"44","prism:startingPage":"18803","prism:endingPage":"18808"},"reviewed":"false","url":[{"@id":"https://pnas.org/doi/pdf/10.1073/pnas.1013140107"}],"createdAt":"2010-10-20","modifiedAt":"2022-04-14","relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1360283691832238848","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"A comparative analysis of the statistical properties of large mobile phone calling networks"}]},{"@id":"https://cir.nii.ac.jp/crid/1360846642775606400","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Predictability of Conversation Partners"}]},{"@id":"https://cir.nii.ac.jp/crid/1360848658848672256","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Synchronization of mobile chaotic oscillator networks"}]},{"@id":"https://cir.nii.ac.jp/crid/1360865816791198720","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Testing the power-law hypothesis of the interconflict interval"}]},{"@id":"https://cir.nii.ac.jp/crid/1360869855561960832","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Temporal scaling theory for bursty time series with clusters of arbitrarily many events"}]},{"@id":"https://cir.nii.ac.jp/crid/2051996267023639040","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Regional and global variations in the temporal clustering of tectonic tremor activity"}]}],"dataSourceIdentifier":[{"@type":"CROSSREF","@value":"10.1073/pnas.1013140107"},{"@type":"CROSSREF","@value":"10.1038/srep05132_references_DOI_XSYOkN5D8jXuth0tyYe5huzh6KS"},{"@type":"CROSSREF","@value":"10.1186/1880-5981-66-66_references_DOI_XSYOkN5D8jXuth0tyYe5huzh6KS"},{"@type":"CROSSREF","@value":"10.1103/physrevx.1.011008_references_DOI_XSYOkN5D8jXuth0tyYe5huzh6KS"},{"@type":"CROSSREF","@value":"10.1063/1.4962129_references_DOI_XSYOkN5D8jXuth0tyYe5huzh6KS"},{"@type":"CROSSREF","@value":"10.1038/s41598-023-50002-w_references_DOI_XSYOkN5D8jXuth0tyYe5huzh6KS"},{"@type":"CROSSREF","@value":"10.1063/5.0219561_references_DOI_XSYOkN5D8jXuth0tyYe5huzh6KS"}]}