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发布时间：2019-09-21

论文类型：期刊论文

发表时间：2011-12-12

发表刊物：Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

收录刊物：Scopus、CPCI-S、EI

卷号：7091 LNAI

页面范围：404-413

ISSN号：9783642259746

关键字：Collaboration Network; Meta-Model; Knowledge Dynamics; Network Evolution; Agent-Based Modeling

摘要：Guimera 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. © 2011 Springer-Verlag.