In recent years, with the emergence of big-data and high-throughput biological analyses,
massive biological data have been generated and accessed, and many heuristic and …

Influence maximization is to extract a small set of nodes from a social network which
influences the propagation maximally under a cascade model. In this paper, we propose a …

Is the enemy of an enemy necessarily a friend? If not, to what extent does this tend to hold?
Such questions were formulated in terms of signed (social) networks and necessary and …

Signed social networks account for the situation in which friendship, trust, alliance–
represented by positive edges–coexist with relations of dislike, distrust, conflict …

The frustration index is a key measure for analysing signed networks, which has been
underused due to its computational complexity. We use an exact optimization-based method …

A new method for improving the optimization performance of a state-of-the-art differential
evolution (DE) variant is proposed in this paper. The technique can increase the exploration …

The robust controllability (RC) of a complex system tries to select a set of dominating entities
for the functional control of this entire system without uncertain disturbances, and the …

This paper presents a novel differential evolution algorithm for numerical optimization by
making full use of the neighborhood information to balance exploration and exploitation. To …

Recently, there have been significant advancements in the development of exact methods
and metaheuristics for partitioning signed networks. The metaheuristic advancements have …

Network embedding aims to embed network nodes into a low-dimensional and continuous
vector space, which can benefit various downstream network analysis tasks. As it is an …