Network visual analysis based on community detection

Abstract

With the rapid increasing size of the network, mining and analyzing the network structure characteristics to enhance network awareness and understanding are facing severe challenges. We use community detection algorithm to obtain the community division. The network nodes are layout by force directed methods to visualize the network structure. At the same time magnifying metaphor method is used to enhance interactively inquiring details to achieve focus-context display. Experimental results show that this can help the network understanding and situation awareness.