Online Social Networks (OSNs) are becoming a popular method of meeting people and
keeping in touch with friends. OSNs resort to trust evaluation models and algorithms to …

The influence maximization (IM) problem identifies the subset of influential users in the
network to provide solutions for real-world problems like outbreak detection, viral marketing …

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 …

Research on social networks has exploded over the last decade. To a large extent, this has
been fueled by the spectacular growth of social media and online social networking sites …

Models for the processes by which ideas and influence propagate through a social network
have been studied in a number of domains, including the diffusion of medical and …

Influence maximization is the problem of selecting top k seed nodes in a social network to
maximize their influence coverage under certain influence diffusion models. In this paper …

In many real-world situations, different and often opposite opinions, innovations, or products
are competing with one another for their social influence in a networked society. In this …

Malicious code is an increasingly important problem that threatens the security of computer
systems. The traditional line of defense against malware is composed of malware detectors …

Influence maximization is a well-studied problem that asks for a small set of influential users
from a social network, such that by targeting them as early adopters, the expected total …

Influence maximization, defined by Kempe et al.(SIGKDD 2003), is the problem of finding a
small set of seed nodes in a social network that maximizes the spread of influence under …