Abstract Making vast amounts of online social media data comprehensible to an analyst is a key question in operational analytics. Twitter and micro-blog conversations can easily be gathered from Internet services such as Spinn3r to create graphs representing the interactions between the entities in an online community that contains billions of vertices and tens of billions of edges. Graphs of this size can easily be represented in a modern laptop or workstation. The challenge lies in making the.
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