Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
2004-09-06
Mathematical Population Studies 12(2) (2005) 107-130
Nonlinear Sciences
Adaptation and Self-Organizing Systems
(v2: some typos corrected in sec. 3.2)
Scientific paper
10.1080/08898480590931404
Social scientists have shown an increasing interest in understanding the structure of knowledge communities, and particularly the organization of "epistemic communities", that is groups of agents sharing common knowledge concerns. However, most existing approaches are based only on either social relationships or semantic similarity, while there has been roughly no attempt to link social and semantic aspects. In this paper, we introduce a formal framework addressing this issue and propose a method based on Galois lattices (or concept lattices) for categorizing epistemic communities in an automated and hierarchically structured fashion. Suggesting that our process allows us to rebuild a whole community structure and taxonomy, and notably fields and subfields gathering a certain proportion of agents, we eventually apply it to empirical data to exhibit these alleged structural properties, and successfully compare our results with categories spontaneously given by domain experts.
Bourgine Paul
Roth Camille
No associations
LandOfFree
Epistemic communities: description and hierarchic categorization does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Epistemic communities: description and hierarchic categorization, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Epistemic communities: description and hierarchic categorization will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-375203