为揭示Wiki系统中知识网络的内在特性与演化规律,从知识协同视角出发,以Wikipedia(维基百科)为研究对象,结合复杂网络理论,采用实证研究方法,在构建Wiki系统有向的词条网络和主题参考网络基础上,对两个网络的节点度与度分布、平均路径长度、聚类系数等方面进行了实证分析。实证结果表明Wiki知识网络的入度服从幂率分布,出度服从广延指数分布,网络具有异配性和小世界效应等特性,且词条网络比主题参考网络具有更强的扩散能力和更快的传播速度。根据揭示的Wiki知识网络的特性,提出了更好地利用Wiki系统支持知识协同与共享的相关建议与策略。
To reveal internal features and evolution regularity of knowledge network in the wiki system, Wikipedia is taken as a case and empirical methodology is used in this paper, along with complex network theories and the perspective of knowledge collaboration. After the article network (A-Net) and topic network (S-Net) are built in terms of the relations among various articles in Wikipedia, the empirical statistical measurements, such as the node degree and its distribution, the average path length, the clustering coefficient, etc. are analyzed for such complex networks. The empirical results show that the in-degree distribution of wiki knowledge networks follows a power-law distribution and the out-degree distribution follows a stretched exponential distribution, the network possess disassortative and small-world features, and A-Net has stronger diffusion capability and higher propagation speed than S-Net. Some suggestions and strategies to use wiki system supporting knowledge collaboration and sharing better are provided.