Given a social network with diffusion probabilities as edge weights and a positive integer k,
which k nodes should be chosen for initial injection of information to maximize the influence …

Graph diffusion problems such as the propagation of rumors, computer viruses, or smart grid
failures are ubiquitous and societal. Hence it is usually crucial to identify diffusion sources …

In this paper, a novel mobile data offloading method is proposed based on an external-
infrastructure-free approach. Specifically, through the hotspot function of smartphones, data …

Social network mining can be divided into two categories, namely, the study of structural
characteristics and content analysis. One of the most significant problem in the context of a …

Given a social network of users with non-uniform selection cost, and a fixed budget, which
nodes should be chosen for initial activation to maximize the influence in the network, such …

There are many real-world complex systems with multi-type interacting entities that can be
regarded as heterogeneous networks including human connections and biological …

Network systems, such as Internet, smart grids, transportation networks, social networks,
etc., play a critical role in human society. However, due to their inherent vulnerability as well …

When an epidemic spreads in a given network of individuals or communities, can we detect
its source using only the information provided by a small set of nodes? We propose a …

Source localization aims to locate information diffusion sources only given the diffusion
observation, which has attracted extensive attention in the past few years. Existing methods …

It is of great significance to effectively and quickly identify the most influential users in the
open source software community, which can be represented by a complex network …