The Study of Small-world Network Knowledge Transfer Behavior Model Based on Multi-Agent Simulation

摘要：

Knowledge network is a typical social network, which is equipped with the feature of small-world. The paper adopts adaptive modeling method of Multi-Agent in complex adaptive system, applying Multi-Agent simulation platform Netlogo to construct the knowledge transfer simulation mode based on smallworld net model. Using the average path length and clustering coefficient to stand for AC Frequency and Aggregation Degree among knowledge network nodes and studying the nodes ability to release and absorb as well as the knowledge transfer effect by trust degree. Operating simulation model means improving the AC Frequency and Aggregation Degree of nodes, enhancing nodes ability to transfer knowledge can ensure transfer frequency in organization reaching a high level and offer rules and guidance to construct net structure and behavior model suited with knowledge dissemination and transfer.

关键词： Small-World Network Knowledge Network Knowledge transfer Multi-Agent Mode NetLogo simulation

作者: Yang bo

作者单位: School of Information Management Jiangxi University of Finance & Economics Nan chang, P.R.China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 187-191

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）