otm:the_matching_of_causal_sequences:example1

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There are a clear tendency towards the use of social Web applications (eg. Twitter, Google Reader, Waze, Facebook etc) are widely used. The analysis of the distributed flow of information in these applications is interesting, however, this analysis is complex. For example, consider that we want to analyze the popularity of a piece of news in a social Web application like Twitter. The popularity of a piece of news is measured as the number of republications of the news that anybody published. For instance, consider the following scenario of four people: Paul, Mike, Peter, and Kuky; where Paul published the message “There is a new version of OTM.” and other three users received this message. If Mike and Kuky republish the message, the popularity of this news is two. Instead, if anybody republishes this news, the popularity of this news is zero. FIXME

The following Web page shows four social Web applications 1) trigger in this page. The user writes its name and is able to send news. FIXME

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1)
From any machine, anybody can connect this social Web application: http://pleiad.dcc.uchile.cl/aspectscript/external/otm/paperExample-SPE/causal/counterNew/wapp.html
  • otm/the_matching_of_causal_sequences/example1.1294815151.txt.gz
  • Last modified: 2011/01/12 06:52
  • by aspectscript