中文摘要：

【目的／意义】在线知识社区中知识通过社会关系进行传播，形成知识网络，用户之间通过交流、沟通形成社会网络，通过网络结构来探索社会关系与知识结构的序化过程。【方法／过程】基于社会网络分析理论和网络结构熵理论，以英文维基百科为研究对象，通过知识网络和社会网络的平均路径长度、聚类系数、同配系数、“蔡”结构熵，揭示网络的演化规律。【结果／结论】通过词条“BigBang”的案例研究发现：在线知识社区中知识观点较社会关系更为紧密，聚合程度较高；社区演化初期，两个网络是无序的同配网络，随后逐渐演化为有序的异配网络。

英文摘要：

[Purpose/significance] Knowledge spreads through social relations in online knowledge community （OKC）, and forms the network structure of knowledge. Users communicate with each other, and form the network of social relationship. [ Method/process ]This paper explores the evolution of social relationships and knowledge structure. In Wikipedia, based on the theory of the social network analysis and network structure entropy, this paper measures the average path length, cluster- ing coefficient and assortativity coefficient, ＂Cai＂ structure entropy of knowledge network and social network to explore the regulation of evolution. [Result/conclusion ] The case study of ＂Big Bang＂ indicates that： social relations are more closely linked than knowledge points of view. In the evolution of the initial stage, the two networks are disorder of assortative net- work, and then gradually evolve into orderly disassortative networks.