Solving the influence maximization problem by using entropy and weight of edges

F Kazemzadeh, A Karian… - … on Computer and …, 2022 - ieeexplore.ieee.org
The Problem of Maximizing diffusion was raised to find the number of K nodes as a subset of
all social network nodes. Many other social network nodes can be activated to get …

Optimal selection of seed nodes by reducing the influence of common nodes in the influence maximization problem

F Kazemzadeh, AA Safaei… - 2022 13th International …, 2022 - ieeexplore.ieee.org
The Internet and social networks play an important role in today's world. Many large
companies and organizations use the Internet to manage and implement their activities …

Influence maximization algorithm based on reducing search space in the social networks

Z Aghaee, S Kianian - SN Applied Sciences, 2020 - Springer
The influence maximization problem in social networks is an optimization problem in viral
marketing. This problem is concerned with identifying a certain number of people with the …

A novel ITÖ Algorithm for influence maximization in the large-scale social networks

Y Wang, W Dong, X Dong - Future Generation Computer Systems, 2018 - Elsevier
As a key problem in the social network, Influence Maximization (IM) has received extensive
study. Since it is a well-known NP-complete problem, it is a great challenge to determine the …

Seed Selection Algorithm using Centrality based Entropy

KJ Rabadiya, R Patel - International Journal of Computing and …, 2023 - journals.uob.edu.bh
In the field of research in social networks, the influence maximization problem has captured
an abundance of attention. Mostly, influence maximization is performed by selecting the best …

LTHS: A heuristic algorithm based on local two-hop search strategy for influence maximization in social networks

L Qiu, Z Yang, S Zhu, C Gu… - Journal of Intelligent & …, 2021 - content.iospress.com
Influence maximization is a classic network optimization problem, which has been widely
used in the field of viral marketing. The influence maximization problem aims to find a fixed …

DDSE: A novel evolutionary algorithm based on degree-descending search strategy for influence maximization in social networks

L Cui, H Hu, S Yu, Q Yan, Z Ming, Z Wen… - Journal of Network and …, 2018 - Elsevier
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 …

Integer Linear Programming for Influence Maximization

F Ghayour Baghbani, M Asadpour, H Faili - Iranian Journal of Science and …, 2019 - Springer
Influence Maximization is one of the important research topics in social networks which has
many applications, eg, in marketing, politics and social science. The goal of Influence …

TPH: A Three-Phase-based Heuristic algorithm for influence maximization in social networks

W Jia, L Yan, Z Ma, W Niu - Journal of Intelligent & Fuzzy …, 2020 - content.iospress.com
Influence maximization is a fundamental problem, which is aimed to specify a small number
of individuals as seed set to influence the largest number of individuals under a certain …

A Comparative Analysis of the Techniques for Influence Maximization in Social Networks

N Shakeel, RK Dwivedi - 2022 9th International Conference on …, 2022 - ieeexplore.ieee.org
Now-a-days, social networks have become an important part of the individuals' day-to-day
life. It plays a significant role in spreading data over the network. In viral advertising …