20120326-NodeXL-Twitter hadoop network

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    The graph represents a network of up to 1000 Twitter users whose recent tweets contained "hadoop". The network was obtained on Monday, 26 March 2012 at 22:31 UTC. There is an edge for each follows relationship. There is an edge for each "replies-to" relationship in a tweet. There is an edge for each "mentions" relationship in a tweet. There is a self-loop edge for each tweet that is not a "replies-to" or "mentions". The earliest tweet in the network was tweeted on Friday, 23 March 2012 at 18:55 UTC. The latest tweet in the network was tweeted on Monday, 26 March 2012 at 19:46 UTC.

    The graph is directed.

    The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

    The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.

    The edge colors are based on relationship values. The vertex sizes are based on followers values.

    Overall Graph Metrics:
    Vertices: 1000
    Unique Edges: 6078
    Edges With Duplicates: 1006
    Total Edges: 7084
    Self-Loops: 886
    Connected Components: 237
    Single-Vertex Connected Components: 223
    Maximum Vertices in a Connected Component: 747
    Maximum Edges in a Connected Component: 6752
    Maximum Geodesic Distance (Diameter): 9
    Average Geodesic Distance: 3.249811
    Graph Density: 0.00584284284284284
    Modularity: 0.380253

    Top 10 Vertices, Ranked by Betweenness Centrality:

    Top keyword pairs by frequency of mention

    More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/ and here:

    A gallery of NodeXL network data sets is available here: nodexlgraphgallery.org/Pages/Default.aspx?search=twitter

    NodeXL is free and open and available from www.codeplex.com/nodexl

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