Systematic literature review on identifying influencers in social networks

SF Seyfosadat, R Ravanmehr - Artificial Intelligence Review, 2023 - Springer
Considering the ever-increasing size and complexity of social networks, developing
methods to extract meaningful knowledge and information from users' vast amounts of data …

UniSKGRep: A unified representation learning framework of social network and knowledge graph

Y Shen, X Jiang, Z Li, Y Wang, C Xu, H Shen, X Cheng - Neural Networks, 2023 - Elsevier
The human-oriented applications aim to exploit behaviors of people, which impose
challenges on user modeling of integrating social network (SN) with knowledge graph (KG) …

A comprehensive loss analysis-based decision support method for e-democratic multi-agent cooperative decision-making

Z Du, S Yu, J Wang, H Luo, X Lin - Expert Systems with Applications, 2024 - Elsevier
E-democracy provides a virtual online platform characterized by information transparency
and equal interaction, which facilitates the participation of multiple agents in government …

The effects of individuals' opinion and non-opinion characteristics on the Organization of Influence Networks in the online domain

VN Gezha, IV Kozitsin - Computers, 2023 - mdpi.com
The opinion dynamics literature argues that the way people perceive social influence
depends not only on the opinions of interacting individuals, but also on the individuals' non …

[HTML][HTML] Information alienation and circle fracture: policy communication and opinion-generating networks on social media in China from the perspective of COVID-19 …

Y Dai, X Cheng, Y Liu - Systems, 2023 - mdpi.com
The emergence of the Internet and social media provides a new platform for information
diffusion, promoting the interaction among relatively independent participants in the opinion …

Daily peer relationships and academic achievement among college students: A social network analysis based on behavioral big data

Y Zhou, X Meng, J Wang, X Mo, S Jiang, C Dai, M Liu - Sustainability, 2023 - mdpi.com
This study aimed to detect college students' daily peer networks through a behavioral big-
data-driven social network analysis and to explore the relationship between college …

Opinion formation in online public debates structured in information cascades: A system-theoretic viewpoint

IV Kozitsin - Computers, 2023 - mdpi.com
Online information cascades (tree-like structures formed by posts, comments, likes, replies,
etc.) constitute the spine of the public online information environment, reflecting its various …

A bitwise approach on influence overload problem

CC Lee, J Afshar, AH Roudsari, WK Loh… - Data & Knowledge …, 2024 - Elsevier
Increasingly developing online social networks has enabled users to send or receive
information very fast. However, due to the availability of an excessive amount of data in …

[HTML][HTML] Effective graph-neural-network based models for discovering Structural Hole Spanners in large-scale and diverse networks

D Goel, H Shen, H Tian, M Guo - Expert Systems with Applications, 2024 - Elsevier
Abstract A Structural Hole Spanner (SHS) is a set of nodes in a network that act as a bridge
among different otherwise disconnected communities. While several solutions exist for SHS …

Enhancing Network Resilience through Machine Learning-powered Graph Combinatorial Optimization: Applications in Cyber Defense and Information Diffusion

D Goel - arXiv preprint arXiv:2310.10667, 2023 - arxiv.org
With the burgeoning advancements of computing and network communication technologies,
network infrastructures and their application environments have become increasingly …