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Online learning communities are becoming increasingly popular as they are known to support collaborative dialogue and knowledge building. This research aims to advance our understanding of open and large online learning networks by exploring and characterizing community level dynamics and communities of performance. To achieve this goal, we propose to mine a large open online learning network of over 30,000 students and about one million posts using social network analysis methods.