Overview Notions of community quality underlie the clustering of networks. While studies
surrounding network clustering are increasingly common, a precise understanding of the …

Rapid improvements in the precision of mobile technologies now make it possible for
advertisers to go beyond real-time static location and contextual information on consumers …

Given a social graph, the problem of influence maximization is to determine a set of nodes
that maximizes the spread of influences. While some recent research has studied the …

Multilevel optimization aims at reducing the cost of executing a target network-based
algorithm by exploiting coarsened, ie, reduced or simplified, versions of the network. There …

Graph clustering is one of the key techniques for understanding the structures present in
graphs. Besides cluster detection, identifying hubs and outliers is also a key task, since they …

Given a co-authorship collaboration network, how well can we cluster the participating
authors into communities? If we also consider their citation network, based on the same …

The increasing availability and significance of large-scale protein-protein interaction (ppi)
data has resulted in a flurry of research activity to comprehend the organization, processes …

Network anomaly detection has become very popular in recent years because of the
importance of discovering key regions of structural inconsistency in the network. In addition …

Malicious tampering of the internal circuits of ICs can lead to detrimental results. Insertion of
Trojan circuits may change system behavior, cause chip failure or send information to a third …

With the recent advances in information networks, the problem of community detection has
attracted much attention in the last decade. While network community detection has been …