It is explained that the term co-occurrence graph of text is highly clustered and has short path length, which proves that texts have small world structure.

为此首先证明由文本形成的词汇共现图呈现短路径，高聚集度的特性，说明小世界结构存在于文本中；

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In this paper, we use the co-occurrence path to explain the relationship between the index words and extract the semantic information in the term-term matrix to expand the query.

本文首先利用传递度来量化索引词与索引词间的关联关系，然后利用索引词与索引词的关系矩阵中存在的语义关系对查询向量进行智能扩展。

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