Linguistic activity is highly complicated things that is produced from human brain. When the topic which is written or spoken becomes difficult, the produced sentence and article become more complex. Traditional analysis of the linguistic activity was based on the word frequency in use. Recently, the analysis based on the relation between word usage is attracting attention. These relation can be represented by network called “language networks.” Many findings from the research of complex networks can be applied to this area. In this study, we investigate cooccurrence networks that are made from Wikipedia's article. Several network indices are used to classify the co-occurrence networks. We found that the co-occurrence networks made from the similar categories show the similarities in terms of indices.
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