Modeling the dynamics of using a collaborative hypertext

Chaomei Chen, R. Rada

Research output: Contribution to journalArticle

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.

Original languageEnglish
Pages (from-to)579-606
Number of pages28
JournalJournal of Intelligent Systems
Volume10
Issue number5-6
DOIs
Publication statusPublished - 2000 Jan 1

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Time series
Hypertext systems
Linear regression
Structural properties

All Science Journal Classification (ASJC) codes

  • Software
  • Information Systems
  • Artificial Intelligence

Cite this

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Modeling the dynamics of using a collaborative hypertext. / Chen, Chaomei; Rada, R.

In: Journal of Intelligent Systems, Vol. 10, No. 5-6, 01.01.2000, p. 579-606.

Research output: Contribution to journalArticle

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