FIP: A fast overlap** community-based Influence Maximization Algorithm using probability coefficient of global diffusion in social networks

A Bouyer, HA Beni, B Arasteh, Z Aghaee… - Expert systems with …, 2023 - Elsevier
Influence maximization is the process of identifying a small set of influential nodes from a
complex network to maximize the number of activation nodes. Due to the critical issues such …

Determination of influential nodes based on the Communities' structure to maximize influence in social networks

F Kazemzadeh, AA Safaei, M Mirzarezaee, S Afsharian… - Neurocomputing, 2023 - Elsevier
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 …

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 …

Identify initial nodes for spreader in a new diffusion model based on topology (dbt) in social networks

E Khosravi, F Yazdanifar, N Salimi… - 2023 9th International …, 2023 - ieeexplore.ieee.org
With the development of science and technology through social networks, the process of
diffusion has become a controversial subject. In social networks, the process of diffusion is …

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 …

Maximum diffusion of news in social media with the approach of reducing the search space

M Karian - 2022 12th International Conference on Computer …, 2022 - ieeexplore.ieee.org
Identification of nodes that spread influence is an important aspect of social network
analysis. These nodes are used for maximizing influence. Influence maximization (INMAXI) …