Title
A meta-model for studying the coevolution of knowledge and collaboration networks
Abstract
Guimerà and his colleagues proposed an interesting modelto study the evolution of collaboration networks, in which the creative teams are the basic building blocks of the collaboration network and the network grows by repetitively assimilating new teams. We argue that one limitation of this GUSA model is that the intrinsic mutual influence of the collaboration network and the collective production and diffusion of knowledge in the network is largely neglected. Based on this argumentation, we in this paper propose an abstract meta-model that extends and generalizes the GUSA model in order to study the evolutionary dynamics of collaboration networks with the team assembly mechanism. By integrating the mechanism of team-wide knowledge production and diffusion, the proposed meta-model provides a unified framework to simultaneously study knowledge dynamics and structural evolution of the network. In tune with the proposed meta-model, an agent-based modeling framework is briefly discussed.
Year
DOI
Venue
2011
10.1007/978-3-642-25975-3_36
KSEM
Keywords
Field
DocType
structural evolution,proposed meta-model,knowledge dynamic,abstract meta-model,gusa model,agent-based modeling framework,team-wide knowledge production,collective production,interesting modelto study,collaboration network,meta model
Network formation,Coevolution,Computer science,Argumentation theory,Artificial intelligence,Evolutionary dynamics,Metamodeling
Conference
Volume
ISSN
Citations 
7091.0
0302-9743
0
PageRank 
References 
Authors
0.34
6
4
Name
Order
Citations
PageRank
Haoxiang Xia1375.53
Zhao-guo Xuan2496.77
Shuangling Luo3182.21
Donghua Pan4235.53