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Using the EdgeSense demo
Alberto Cottica edited this page Apr 30, 2014
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- Navigate to http://wikitalia.github.io/edgesense/demo/. The page takes about 10 seconds to load.
- The network represent the online conversation in an online community called Edgeryders in late 2011 and 2012. Nodes represent users; edges represent comments (learn more about network representation in EdgeSense).
- If two nodes have the same color, they are part of the same subcommunity. By this term we mean a set of nodes that are more tightly connected to each other than they are to the rest of the network. Edges take the colour of their source node. Subcommunities are computed by applying the Louvain algorithm to the network. Nodes representing community administrators are coloured in grey, but the edges departing from them maintain the color of the subcommunities that administrators are assigned to.
At the top right of the page EdgeSense displays network statistics.
- Number of nodes. This is equivalent to the number of users that have written or received at least one comment. It does not coincide with the number of "active users" as defined by Drupal; in most communities the number of nodes is significantly lower than the number of active users. Edgeryders had 1200 active users (in the Drupal sense) at the end of 2012, but only 260 nodes.
- Number of edges. This is equivalent to the number of relationships established across users in the community. It does not coincide with the number of comments: if user i comments user j's content 4 times, the database records 4 comments, while EdgeSense aggregates them into one relationship of weight 4. In the demo data we have 4,100 comments aggregated into 1,600 relationships.
- Average degree. This is the average over the sum total of all relationships (generated both from incoming and outgoing comments) across all nodes. You can interpret it as the number of interactions that the average user has had in the community in the period considered. The higher this number, the more lively the community feels to the average user.