基于迭代超中心度的MOOC论坛用户知识互动超网络研究

发布时间：2018-02-23 20:24

  本文关键词： 慕课 论坛 超网络 迭代超中心度 知识流动　出处：《数据分析与知识发现》2017年08期 　论文类型：期刊论文

【摘要】：【目的】更好地反映MOOC论坛参与者的活跃水平以及论坛主题的质量,以提高学员的论坛参与度,发挥MOOC社会效应。【方法】提出超网络下"迭代超中心度"概念和算法,通过多次迭代,直至收敛,将整个网络的节点考虑在内,以更全面地反映出不同节点的重要性与影响力。【结果】传统网络指标揭示的信息有限,点度小的节点,其重要性与影响力可能大;点度相同的节点,重要性与影响力也会不同。迭代超中心度全面衡量节点的重要性,在MOOC中更能反映出节点推动知识流动的能力。【局限】数据量比较少,只对一门课程进行分析,没有从更多的超网络指标进行分析。【结论】"迭代超中心度"可以揭示出论坛参与者的活跃水平以及论坛主题的质量,可以作为一种改进论坛设置的评价指标。
[Abstract]:[objective] to better reflect the active level of MOOC forum participants and the quality of forum topics, so as to increase participants' participation in the forum and bring into play the social effects of MOOC. [methods] the concept and algorithm of "iterative hypercenter" in hypernetwork are proposed. After several iterations until convergence, the nodes of the whole network are taken into account to reflect more comprehensively the importance and influence of different nodes. [results] the traditional network indicators reveal nodes with limited information and small vertices. Its importance and influence may be great; the nodes with the same vertex will be different in importance and influence. Iterative hypercentricity is a comprehensive measure of the importance of nodes. The ability of nodes to drive knowledge flows is better reflected in MOOC. [limitations] the amount of data is relatively small and only one course is analyzed. [conclusion] "iterative hypercentricity" can reveal the active level of forum participants and the quality of forum topics, and can be used as an evaluation index to improve forum setting.
【作者单位】： 武汉大学信息管理学院;武汉大学电子商务研究与发展中心;
【基金】：国家自然科学基金项目“创新2.0超网络中知识流动和群集交互的协同研究”(项目编号:71373194)的研究成果之一
【分类号】：G434;TP391.3-4
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本文编号：1527486