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 …

Influence maximization is an important research area in social network analysis where
researchers are concerned with detecting influential nodes. The detection of influential …

With the increasing development of social networks, they have turned into important
research platforms. Influence maximization is one of the most important research issues in …

In this paper, we explore influence maximization, one of the most widely studied problems in
social network analysis. However, developing an effective algorithm for influence …

Filter rule along with other trading algorithms is used to identify potentially profitable trading
points in stock markets. In this study, the scope of the filter rule has been expanded to …

Featured Application This paper provides applicability of the Real Coded Genetic Algorithm
to the Natural Language Processing Task, ie, Text Summarization. The purpose of text …

The rapid growth of technology and computer science, which has led to a surge in demand
for skilled professionals in this field. The skill set required for computer science jobs has …

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 …

This study aims to optimize the node deployment of underwater wireless sensor networks
(UWSNs) using intelligent optimization algorithms and robot collaboration technology to …

Recently, a new subject known as the Social Internet of Things (SIoT) has been presented
based on the integration the Internet of Things and social network concepts. SIoT is …