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Figure 9 | EPJ Data Science

Figure 9

From: Router-level community structure of the Internet Autonomous Systems

Figure 9

The AS 17506 (Ucom Corporation, Japan). The structure of this Japanese AS with 4,739 nodes is organized into different clusters. Many of these clusters have a redundancy structure formed by 4 routers, which is a typical configuration in many ASes. Though the clusters can be clearly distinguished, they also constitute one large community which the Multiresolution Deltacom algorithm retrieves with a recall score of \(R_{2}=0.78\). Some nodes play a special role into this cohesion by acting as hubs. We can identify them by computing the eigenvector centrality, which is shown as the colour of the nodes in a light blue/blue/violet/red scale: the red nodes have the highest centrality values, and they are the main hubs. The classical modularity optimization throws a recall of 0.19 instead, because the AS is already combined with others at \(t=1\). On the other hand, Infomap obtains a recall of 0.13. (Image generated with Gephi.)

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