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 …

Influence maximization problem aims to select a subset of k most influential nodes from a
given network such that the spread of influence triggered by the seed set will be maximum …

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 …

Influence Maximization (IM) is a key algorithmic problem that has been extensively studied
in social influence analysis, but most of existing researches either make sacrifices in solution …

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 …

Abstract Opinion Maximization Problem (OMP) targets at selecting a subset of influential
initial nodes and eventually generating the maximum opinion spread. The current OMP …

Influence maximization research in the real world allows us to better understand, accelerate
spreading processes for innovations and products, and effectively analyze, predict, and …

Influence maximization aims to select a subset of top-k influential nodes to maximize the
influence propagation, and it remains an open research topic of viral marketing and social …

Influence maximization in a social network focuses on the task of extracting a small set of
nodes from a network which can maximize the propagation in a cascade model. Though …

In this paper, we propose fuzzy queries processing techniques based on the proposed
intuitionistic fuzzy social relational network (IFSRN) model which contain positive …