Abstract：The evolution of communication network in the knowledge creation community is studied by join using of the complex network method and null model based on the communication relationships in the codeplex C# small community,which is an open source community. The results show that, the degree distribution of communication network at different stage is a stretched exponential distribution, while the weight of network is a power law distribution. Especially, the characteristic of small world and community structure in these networks are significant, but not in weighted networks. The phenomenon of rich club also exists in these sequence networks. Although the network scale has a gradual increase in stable stage, there is no clear hierarchical cha-racteristic. Hence, it is a typical disassortative network. Therefore, heterogeneity and small word characters appear in this process of knowledge sharing, knowledge flow and the interaction among general users.
曾进群, 杨建梅, 陈泉. 开源软件社区知识创造沟通网络演变研究[J]. 复杂系统与复杂性科学, 2014, 11(2): 62-71.
ZENG Jin-qun, YANG Jian-mei, CHEN quan. Evolution of Communication Network for Knowledge Creation of the Open Source Software Community[J]. Complex Systems and Complexity Science, 2014, 11(2): 62-71.
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