Modeling the Dynamics of Using a Collaborative Hypertext

Abstract

The dynamics of using a collaborative hypertext system is analyzed and modeled, based on time series data from the real users. First, we studied how users access a shared workspace simultaneously. Traditional time series modeling methods, notably multiple linear regression and Box-Jenkins ARIMA modeling techniques, are used. Second, we analyzed the relation between awareness-seeking events and a variety of structural properties associated with such events through a Poisson regression model. This process-oriented approach complements analytical and modeling methods concerning the dynamics of group work.