Single-solution-based optimization algorithms are computationally cheap yet powerful methods that can be used on various optimization tasks at minimal processing expenses …
A significant challenge in viral marketing is the efficient identification of a group of influential users within a given network, maximizing the spread of influence, known as influence …
Q He, L Zhang, H Fang, X Wang, L Ma… - … on Neural Networks …, 2024 - ieeexplore.ieee.org
Competitive opinion maximization (COM) aims to determine some individuals (ie, seed nodes) from social networks, propagating the desired opinions toward a target entity to their …
Abstract The Influence Maximization (IM) problem aims to maximize the diffusion of information or adoption of products among users within a social network by identifying and …
X Li, Z Chen - Expert Systems, 2023 - Wiley Online Library
Viral marketing is a frequently used social marketing strategy which aims to promote products on various social media. In order to devise an efficient viral marketing strategy …
M Aslan, İ Koç - Neural Computing and Applications, 2024 - Springer
Community detection (CD) is a powerful way to extract meaningful information from networks such as political election networks, biological networks, social networks, technological …
The detection of influential individuals in social networks is called influence maximization which has many applications in advertising and marketing. Several factors including …
M Xie, XX Zhan, C Liu, ZK Zhang - arXiv preprint arXiv:2310.15465, 2023 - arxiv.org
Influence maximization (IM) aims to select a small number of nodes that are able to maximize their influence in a network and covers a wide range of applications. Despite …
M Namiranian, MR Meybodi - 2023 9th International …, 2023 - ieeexplore.ieee.org
Nowadays, much attention has been devoted to the issues of social networks and social influence. Social influence examines the user's behavioral changes under the influence of …