<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>Laureti, Paolo</dc:creator>
  <dc:creator>Moret, Lionel</dc:creator>
  <dc:creator>Zhang, Yi-Cheng</dc:creator>
  <dc:date>2004-09-11</dc:date>
  <dc:description xmlns:ns0="xml" ns0:lang="en">We analyze some voting models mimicking online evaluation systems intended to reduce the information overload. The minimum number of operations needed for a system to be effective is analytically estimated. When herding effects are present, linear preferential attachment marks a transition between trustful and biased reputations.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>https://folia.unifr.ch/global/documents/299596</dc:identifier>
  <dc:identifier>https://folia.unifr.ch/documents/299596/files/1_zhang_apl.pdf</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>http://arxiv.org/abs/cond-mat/0409020</dc:relation>
  <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.1016/j.physa.2004.08.012</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>License undefined</dc:rights>
  <dc:source>Physica A: Statistical Mechanics and its Applications. - 2005, vol. 345, no. 3-4, p. 705-712</dc:source>
  <dc:subject>info:eu-repo/classification/udc/53</dc:subject>
  <dc:title xmlns:ns1="xml" ns1:lang="en">Aggregating partial, local evaluations to achieve global ranking</dc:title>
  <dc:type>http://purl.org/coar/resource_type/c_6501</dc:type>
</oai_dc:dc>
