Statistical modelling of information sharing: Community, membership, and content
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AbstractFile-sharing systems, like many online and traditional information sharing communities (e.g. newsgroups, BBS, forums, interest clubs), are dynamical systems in nature. As peers get in and out of the system, the information content made available by the prevailing membership varies continually in amount as well as composition, which in turn affects all peers' join/leave decisions. As a result, the dynamics of membership and information content are strongly coupled, suggesting interesting issues about growth, sustenance, and stability.
All Author(s) ListNg WY, Lin WK, Chiu DM
Name of ConferenceInternational Symposium on Computer Performance Modelling, Measurement and Evalution
Start Date of Conference03/10/2005
End Date of Conference07/10/2005
Place of ConferenceJuan les Pins
Journal namePerformance Evaluation
Detailed descriptionTo ORKTS: Also presented in conference Performance 2005
Year2005
Month10
Day1
Volume Number62
Issue Number1-4
PublisherELSEVIER SCIENCE BV
Pages17 - 31
ISSN0166-5316
eISSN1872-745X
LanguagesEnglish-United Kingdom
Keywordsclub formation; dynamic equilibrium; information sharing; peer-to-peer systems; statistical mechanics
Web of Science Subject CategoriesComputer Science; Computer Science, Hardware & Architecture; COMPUTER SCIENCE, HARDWARE & ARCHITECTURE; Computer Science, Theory & Methods; COMPUTER SCIENCE, THEORY & METHODS

Last updated on 2020-07-07 at 01:08