With the boom in technologies and mobile networks in recent years, online social networks
have become an integral part of our daily lives. These virtual networks connect people …

Social networks have emerged as efficient platforms to connect people worldwide and
facilitate the rapid spread of information. Identifying influential nodes in social networks to …

With the fast development of online social networks, a large number of their members are
involved in more than one social network. Finding most influential users is one of the …

Influence maximization (IM) is a widely investigated issue in the study of social networks
because of its potential commercial and social value. The purpose of IM is to identify a group …

Influence maximization is an important technique for its significant value on various social
network applications, such as viral marketing, advertisement, and recommendation …

Recently, in online social networks (OSNs), the least cost influence (LCI) problem has
become one of the central research topics. It aims at identifying a minimum number of seed …

The popularity of social networks has grown manifolds in recent years because of various
activities like fast propagation of ideas, publicity, and news. Influence maximization (IM) is …

Ever increasing popularity social networks has attracted many companies to use them for
viral marketing. Identification of influential users for spreading news and marketing is a …

Influence maximization in social networks aims to find a small group of individuals, which
have maximal influence cascades. In this study, an optimization model based on a local …

Information diffusion in social networks is emerging as a promising solution to successful
viral marketing, which relies on the effective and efficient identification of a set of nodes with …