Agent-Based Supernetworks Model of University Knowledge System
Authored by Ye-Qing Zhao
Date Published: 2015
DOI: 10.1155/2015/320601
Sponsors:
Chinese National Natural Science Foundation
Platforms:
NetLogo
Model Documentation:
Other Narrative
Mathematical description
Model Code URLs:
Model code not found
Abstract
A novel supernetworks framework of knowledge system based on complex
networks is proposed for presenting the multidimensional, multilevel, dynamic complexity characteristics and initiative, adaptability, and
purposefulness of knowledge mainbody in the university. This model
differs from the existing knowledge diffusion method. In order to make
good use of abundant information of the mainbody and improve the
performance of knowledge diffusion, agent-based model and supernetworks
method are adopted to exploit the complex correlation among the
knowledge mainbody, knowledge carrier, and knowledge element. Firstly, the agent-based supernetworks model of knowledge diffusion was
established by use of complex adaptive system theory and supernetworks
analysis method. Secondly, the multilevel structure definition of
supernetworks and knowledge networks of mainbody, element, and carrier
in the knowledge system were described in detail. Thirdly, for verifying
the validity of the model, a local search operator was designed, which
can improve the effectiveness and efficiency of knowledge diffusion.
Experimental studies based on synthetic datasets show that the proposed
method can exhibit good performance, especially providing theoretical
and practical guidance for establishing harmonious relationship between
students and teachers.
Tags
Dynamics
emergence
diffusion
Innovation networks