This article delves into the analysis and identification of influential individuals within social
networks, a fundamental issue in the realm of social network science and complex network …

Finding a seed set to propagate more information within a specific budget is defined as the
influence maximization (IM) problem. The traditional IM model contains two cardinal …

Influence maximization for opinion formation (IMOF) is an important problem in social
networks, which aims to select most influential nodes and obtains the maximal propagation …

Influence maximization (IM) is a problem of selecting the most influential vertices with a
limited budget under a given propagation model. A significant challenge faced by many …

It is a crucial algorithmic challenge in influence analysis to choose k important members to
maximize the influence spread. This is known as the influence maximization (IM) problem in …

Influence maximization (IM) problem in social network analysis aims to select a set of the
most influential users that can maximize the influence spread in a network. The existing …

Internet public opinion is closely related to our life in social network. The wanton growth of
some negative public opinions has an extremely serious impact on the social stability and …

To efficiently protect copyright of digital audio products against illegal usage, in this paper,
we present a robust, secure and Blind Audio Watermarking Algorithm based on Singular …

Opinion Mining plays a vital role in social networking sites like Twitter, where users share
their opinions, and by analyzing the responses (likes, comments, and shares), we can obtain …

The purpose of influence maximization in a cascade model is to extricate a group of hubs
from underlying network that can maximize propagation. Greedy methods may be used to …