Influence maximization (IM) is the process of choosing a set of seeds from a social network
so that the most individuals will be influenced by them. Calculating the social effect of a …

A challenging issue in viral marketing is to effectively identify a set of influential users. By
sending the advertising messages to this set, one can reach out the largest area of the …

Influence maximization (IM) is the problem of finding a small subset of nodes in a social
network so that the number of nodes influenced by this subset can be maximized. Influence …

The different communications of users in social networks play a key role in effect to each
other. The effect is important when they can achieve their goals through different …

Online social networks (OSNs) have become an integral part of our daily lives, shaping the
way social relationships evolve. Influence maximization (IM) in OSNs has been widely …

The influence maximization problem (IMP) is one of the most important topics in social
network analysis. It consists of finding the smallest seed of users that maximizes the …

The problem of influence maximization is a classic issue that has been well-studied in the
field of network science, but most of existing researches are compromising among …

Mega city regions (MCRs) have emerged in many countries in the process of urbanisation.
Understanding the spatio-temporal dynamics of MCRs is crucial for sustainable urban …

It is no secret that the word-of-mouth has very powerful effect on the social interconnections,
but the question is “which factors influence the word-of-mouth effectiveness?” The answer …

Influence maximization (IM) problem, a fundamental algorithmic problem, is the problem of
selecting a set of k users (refer as seed set) from a social network to maximize the expected …