We propose a statistical method for estimating a gene network based on Bayesian networks
from microarray gene expression data together with biological knowledge including protein …

Understanding the complex process of information spread in online social networks (OSNs)
enables the efficient maximization/minimization of the spread of useful/harmful information …

This paper presents a novel approach to estimating healthcare fraud (HCF) risk that applies
network algorithms to graphs derived from open source datasets. One group of algorithms …

Neural network techniques are widely used in network embedding, boosting the result of
node classification, link prediction, visualization and other tasks in both aspects of efficiency …

In social network analysis, the fundamental idea behind the notion of roles is to discover
actors who have similar structural signatures. Actors performing the same role have similar …

People's social life has become more embedded in dynamic online communities. Each
online community can be viewed as a temporal online social network (OSN). The interaction …

Community detection and structural role detection are two distinct but closely-related
perspectives in network analytics. In this paper, we propose RC-Joint, a novel algorithm to …

Users in online social networks often have very different structural positions which may be
attributed to a latent factor: roles. In this paper, we analyze dynamic networks from two …

Roles of nodes in a social network (SN) represent their functions, responsibilities or
behaviors within the SN. Roles typically evolve over time, making role analytics a …

Role discovery and community detection in networks are two essential tasks in network
analytics where the role denotes the global structural patterns of nodes in networks and the …