Paper Info
Title
An Information Foraging Model of Knowledge Creation and Spillover Dynamics in Open Source Science
Abstract
Motivation and problem-domain preferences of scientists can affect aggregate level emergence and growth of problem domains in science. An agent-based model based on information foraging and expectancy theory is introduced to examine the impact of rationality and openness on the growth and evolution of scientific domains. To promote reproducibility of the simulation, a standard documentation protocol is used to specify the conceptual model. In the presented virtual socio-technical model, scientists with different preferences search for problem domains to contribute knowledge, while considering their motivational gains. Problem domains become mature and knowledge spills occur over time to facilitate creation of new problem domains. Experiments are conducted to demonstrate emergence and growth of clusters of domains based on local interactions and preferences of scientists. Based on findings, potential avenues of future research are delineated.
Year
DOI
Venue
2012
10.4018/jats.2012070104
IJATS
Keywords
DocType
Volume
Spillover Dynamics,expectancy theory,agent-based model,Knowledge Creation,new problem domain,Information Foraging Model,different preferences search,conceptual model,aggregate level emergence,virtual socio-technical model,Open Source Science,future research,knowledge spill,problem domain
Journal
4
Issue
Citations 
PageRank 
3
0
0.34
References 
Authors
4
2
Name
Order
Citations
PageRank
Levent Yilmaz119139.38
Özgür Özmen241.51