摘要
构建基于小世界网络模型的知识转移网络仿真模型,用平均路径长度和聚类系数来表征知识网络节点间的交流频率与聚集程度,分析知识网络节点的知识释放、吸收能力及信任程度对网络知识转移效率的影响。仿真结果表明,在具有小世界网络特征的知识转移网络中,提高网络节点的交流频率和集聚程度,增强节点知识转移的行为能力,能够保证网络组织知识转移效率达到较高水平。
This paper constructs the knowledge transfer simulation mode based on small world network model.It uses the average path length and clustering coefficient to stand for AC frequency and aggregation degree among knowledge network nodes and studies the nodes＇ ability to release and absorb as well as the knowledge transfer effect by trust degree.Simulation results show that 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.
出处
《计算机工程》
CAS
CSCD
北大核心
2011年第9期115-117,120,共4页
Computer Engineering
基金
江西省研究生创新专项基金资助项目(YC09A085)
关键词
小世界网络
知识网络
知识转移
平均路径长度
聚类系数
small world network
knowledge network
knowledge transfer
average path length
clustering coefficient
