Abstract
Exploring Hubs and Overlapping Nodes Interactions in Modular Complex Networks
Highlights
In the study of complex networks, such as social, biological and information networks, many different topological features have been observed to occur commonly
In order to evaluate the impact of the community detection algorithms, comparisons are performed with the community structures uncovered by Lancichinetti Fortunato Method and EAGLE (LFME) and DEMON
Aon is the proportion of hubs belonging to the set of overlapping nodes
Summary
In the study of complex networks, such as social, biological and information networks, many different topological features have been observed to occur commonly. One of the main common characteristic is the degree distribution of the nodes. It is well described by a non-homogeneous distribution with a heavy tail. This results in the majority of nodes share a low amount of connections and a small number of remaining nodes that have a large number of connections. The latter ones commonly referred as hubs [1] tend to be extremely influential. In transportation networks, for example, the underlying topology based on a small number of hubs
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