<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Han, Xiao-Pu</dc:creator>
  <dc:creator>Zhou, Tao</dc:creator>
  <dc:creator>Wang, Bing-Hong</dc:creator>
  <dc:date>2008-07-07</dc:date>
  <dc:description xmlns:ns0="xml" ns0:lang="en">Increasing recent empirical evidence indicates the extensive existence of heavy tails in the inter-event time distributions of various human behaviors. Based on the queuing theory, the Barabási model and its variations suggest the highest-priority-first protocol to be a potential origin of those heavy tails. However, some human activity patterns, also displaying heavy-tailed temporal statistics, could not be explained by a task-based mechanism. In this paper, different from the mainstream, we propose an interest-based model. Both the simulation and analysis indicate a power-law inter-event time distribution with exponent -1, which is in accordance with some empirical observations in human-initiated systems.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>https://folia.unifr.ch/global/documents/300783</dc:identifier>
  <dc:identifier>https://folia.unifr.ch/documents/300783/files/zhou_mhd.pdf</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.1088/1367-2630/10/7/073010</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>License undefined</dc:rights>
  <dc:source>New Journal of Physics. - 2008, vol. 10, p. 073010</dc:source>
  <dc:subject>info:eu-repo/classification/udc/53</dc:subject>
  <dc:title xmlns:ns1="xml" ns1:lang="en">Modeling human dynamics with adaptive interest</dc:title>
  <dc:type>http://purl.org/coar/resource_type/c_6501</dc:type>
</oai_dc:dc>