Summary
2007 International Symposium on Nonlinear Theory and its Applications
2007
Session Number:19AM2-A
Session:
Number:19AM2-A-1
Modeling Knowledge Sharing Portal Activities using a Multiplicative Random Process with a Birth and Death Mechanism
Kenichi Arai, Takeshi Yamada, Yukio Hayashi,
pp.401-404
Publication Date:2007/9/16
Online ISSN:2188-5079
DOI:10.34385/proc.41.19AM2-A-1
Summary:
We propose a new model of the evolution of the posting activities in knowledge sharing portals (KSPs). Typical KSPs include online Bulletin Board Systems, word-of-mouth and Q&A community sites. We have constructed a model based on extensive analysis using three di?erent KSPs. First, we show that the number of posted messages obeys Gibrat’s law and can be modeled as a multiplicative random process. Next, we extend the model by adding the birth and death mechanisms of the posting sequence. The proposed model can successfully reproduce the exponential age distributions of posting sequences and the power law distributions of the number of messages.