Competitive Influence Maximization in Trust-Based Social Networks With Deep Q-Learning (2024)

Studia Universitatis Babeș-Bolyai Informatica Authors Anikó Kopacz Abstract Social network analysis is a rapidly evolving research area having several real-life application areas, e.g. digital marketing, epidemiology, spread of misinformation. Influence maximization aims to select a subset of nodes in such manner that the information propagated over the network is maximized. Competitive influence maximization, which…

Examining the Social Behavior of Ant Colonies Using Complex Networks (2023)

Studia Universitatis Babeș-Bolyai Informatica Authors B. Mursa Abstract This paper proposes the use of Complex Network Theory to model the interactions between ants and analyze their social behavior. Specifically, the study focuses on six colonies of ants to investigate whether their behavior is community-oriented or individual-oriented. The research employs various nodes properties that define…