Due to the continuous emergence of various social and trade networks, network influence
analysis has aroused great interest of the researchers. Based on different influence …

Given a social network G and a constant k, the influence maximization problem asks for k
nodes in G that (directly and indirectly) influence the largest number of nodes under a pre …

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 …

Social networks are commonly used for marketing purposes. For example, free samples of a
product can be given to a few influential social network users (or seed nodes), with the hope …

The main purpose in influence maximization, which is motivated by the idea of viral
marketing in social networks, is to find a subset of key users that maximize influence spread …

The steady growth of graph data from social networks has resulted in wide-spread research
in finding solutions to the influence maximization problem. In this paper, we propose a …

The pervasive diffusion of Social Networks (SN) produced an unprecedented amount of
heterogeneous data. Thus, traditional approaches quickly became unpractical for real life …

Competitive viral marketing considers the product competition of multiple companies, where
each user may adopt one product and propagate the product to other users. Existing studies …

The influence maximization paradigm has been used by researchers in various fields in
order to study how information spreads in social networks. While previously the attention …

The problem of influence maximization is to select a small set of seed users in a social
network to maximize the spread of influence. Recently, this problem has attracted …