| 维基百科知识分类结构演化规律研究 |
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| 引用本文： | 徐胜国,刘旭.维基百科知识分类结构演化规律研究[J].图书情报工作,2014,58(7):119-124. |
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| 作者姓名： | 徐胜国 刘旭 |
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| 作者单位： | 1. 大连理工大学管理与经济学部;
2. 大连理工大学图书馆 |
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| 摘 要： | 维基百科分类页面所构成是一种在用户自发的协同编辑行为下建立起来的、具备自组织特性的全新知识分类结构。依据维基百科分类结构特点，将其看成是以分类页面为领域知识节点，以节点间相互包含关系为边的领域知识分类结构。采用自回避随机游走方法(self-avoiding random walks)构建领域知识节点熵测量模型，从而测定领域知识结构中心领域知识和边缘领域知识节点，以研究领域知识节点随时间演化的规律。研究表明，大多数情况下，多样性熵值越大的节点，越趋向于知识结构的中心领域知识，且其创建的时间也越长；处于相同社团结构中的节点间存在关联关系，使得它们的多样性熵值表现出相似的变化趋势。
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| 关 键 词： | 知识分类结构 网络信息空间 演化 协同编辑 |
| 收稿时间： | 2014-03-05 |
Research on Evolution of Knowledge Category Structure in Wikipedia |
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| Xu Shengguo,Liu Xu.Research on Evolution of Knowledge Category Structure in Wikipedia[J].Library and Information Service,2014,58(7):119-124. |
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| Authors: | Xu Shengguo Liu Xu |
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| Institution: | 1. School of Management Science and Engineering, Dalian University of Technology, Dalian 116024;
2. Dalian University of Technology Library, Dalian 116085 |
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| Abstract: | The structure formed by Wikipedia category page is one kind of new knowledge category structure for that it is spontaneous, self-organized and collaborative edited by people. So it has drawn many researchers' attention. Based on the characteristics of Wikipedia category page, we defined this structure as category structure of domain knowledge, in which Wikipedia category page corresponds to a node, while relationships between these nodes are expressed as edges. By using the model of diversity entropy based on self-avoiding random walks, we got the value of nodes and identified the central nodes and the frontier nodes in the category of domain knowledge. These could help us study the evolution of nodes. The result shows that in most cases, the higher value of diversity entropy the node is, the more likely it will be central node and the longer it has been created. And for the relationships between these nodes in the same community structure, the value of diversity entropy of these nodes shows the similar variation trend. The research in this paper could help us know about development situation and hot areas of domain knowledge, and improve the knowledge category in Wikipedia, which could promote the innovation of knowledge. |
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| Keywords: | knowledge category structure network information world evolution collaborative editing |
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