CIM: clique-based heuristic for finding influential nodes in multilayer networks

M Katukuri, M Jagarapu - Applied Intelligence, 2022 - Springer
Abstract Identifying Influential nodes (Influence maximization) in complex networks is an
essential factor for spreading and controlling the information spreading dynamics in social …

K++ Shell: Influence maximization in multilayer networks using community detection

CR Chowdary - Computer Networks, 2023 - Elsevier
Selecting influential users in a network is essential to spread information quickly. Identifying
influential users is very useful for viral marketing and brand communication. Influence …

A novel triangle count-based influence maximization method on social networks

J Chandran - International Journal of Knowledge and Systems …, 2021 - igi-global.com
Influence maximization aims to identify a small set of influential individuals in a social
network capable of spreading influence to the most users. This problem has received wide …

Efficient algorithms for influence maximization in social networks

YC Chen, WC Peng, SY Lee - Knowledge and information systems, 2012 - Springer
In recent years, due to the surge in popularity of social-networking web sites, considerable
interest has arisen regarding influence maximization in social networks. Given a social …

Influence maximization across heterogeneous interconnected networks based on deep learning

MM Keikha, M Rahgozar, M Asadpour… - Expert Systems with …, 2020 - Elsevier
With the fast development of online social networks, a large number of their members are
involved in more than one social network. Finding most influential users is one of the …

An efficient influence maximization algorithm based on clique in social networks

H Li, R Zhang, Z Zhao, Y Yuan - IEEE Access, 2019 - ieeexplore.ieee.org
Influence Maximization is to find a subset of influential nodes so that they can spread
influence to the largest range in a network. The study on influence maximization is of great …

Influence maximization based on community structure and second-hop neighborhoods

J Cheng, K Yang, Z Yang, H Zhang, W Zhang… - Applied Intelligence, 2022 - Springer
With the spread of Internet and big data research and applications, influence propagation in
networks becomes one of the hot topics in the field of social network analysis in recent …

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 …

An efficient memetic algorithm for influence maximization in social networks

M Gong, C Song, C Duan, L Ma… - IEEE Computational …, 2016 - ieeexplore.ieee.org
Influence maximization is to extract a small set of nodes from a social network which
influences the propagation maximally under a cascade model. In this paper, we propose a …

CBIM: Community-based influence maximization in multilayer networks

KV Rao, CR Chowdary - Information Sciences, 2022 - Elsevier
Selecting seed nodes (most influential nodes) in networks has attracted attention due to
seed nodes' ability to influence and spread information. Seed nodes are essential to …