  Hashtags in twitter are used to track events, topics and activities.
Correlated hashtag graph represents contextual relationships among these
hashtags. Maximum clusters in the correlated hashtag graph can be contextually
meaningful hashtag groups. In order to track the changes of the clusters and
understand these hashtag groups, the hashtags in a cluster are categorized into
two types: stable core and temporary members which are subject to change. Some
initial studies are done in this project and 3 algorithms are designed,
implemented and experimented to test them.
