在线知识社区知识系统与社会系统序化规律研究——以Wikipedia为例

发布时间：2018-07-03 13:18

  本文选题：知识系统 + 社会系统　； 参考：《情报科学》2017年05期

【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"Big Bang"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。
[Abstract]:[purpose / meaning] knowledge is disseminated through social relations in online knowledge communities, forming knowledge networks, and social networks are formed through communication and communication among users. Based on the theory of social network analysis and the entropy of network structure, this paper discusses the sequence process of social relations and knowledge structure in English Wikipedia. Through the average path length, clustering coefficient, matching coefficient of knowledge network and social network, the structure entropy of "Cai", Through the case study of "Big Bang", it is found that the viewpoint of knowledge in online knowledge community is closer than that of social relationship, and the degree of convergence is higher. The two networks are disordered matching networks and then evolve into ordered heterodyne networks.
【作者单位】： 大连理工大学管理与经济学部;
【基金】：国家自然科学基金项目(71573030);国家自然科学基金重点项目(71533001)
【分类号】：D669.3
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本文编号：2093783