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Nowadays Wikis are considered to be a useful tool for teaching and learning. However, well-known Wiki solutions do not provide sufficient facilities for analyzing and exploring networked collaboration. In this paper we present a method for detecting and visualizing structural patterns of collaboration in Wikis. Furthermore we summarize findings from applying our approach on a smaller and two larger datasets. Overall, our method allows characterizing Wikis according to collaboration patterns on the basis of two-mode networks but it also enables users to explore large Wiki corpora and provides visual feedback on content creation.