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 …

Social networks have become an increasingly common abstraction to capture the
interactions of individual users in a number of everyday activities and applications. As a …

With the rapid development of online social networks, the problem of influence maximization
(IM) has attracted much attention from researchers and has been applied in many areas …

Due to the increase of the amount of electrical and electronical equipment waste (e-waste),
the understanding of individual consumers' main decision triggers represents a key point in …

Recommender systems have greatly evolved in recent years and have become an integral
part of the Web. From e-commerce sites to mobile apps, our daily routine revolves around a …

Influence maximization is an important research problem in the field of network science
because of its business value. It requires the strategic selection of seed nodes called …

To supervise massive generated data by the Internet of Things (IoT) efficiently, we face two
issues that should be addressed which are:(1) heterogeneity or satisfying diversity among …

Online social networks provide convenience for users to propagate ideas, products,
opinions, and many other items that compete with different items for influence spread. How …

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 …