Skip to content
RDL
Network
Ekosistem
Uygulama değiştir
EN
Hakkımızda
SSS
Giriş yap
Başla
Influence Maximization in Complex Networks Using Community-Structure-Based Technique with Multi-Level Information Fusion — Yi Liu (2025) | RDL Network
Back
Cite
Save
Save for later
Share
Home
Publications
Influence Maximization in Complex Networks Using Community-Structure-Based Technique with Multi-Level Information Fusion
Shared by
Witold Pedrycz
University of Alberta
Influence Maximization in Complex Networks Using Community-Structure-Based Technique with Multi-Level Information Fusion
Article
2025
en
Authors
+1 more
YL
Yi Liu
XT
Xiaoan Tang
QZ
Qiang Zhang
Discussion
(0)
Sign in
to like and join the discussion.
No comments yet. Be the first to comment.
Related publications
Preprint
2024
Cost-Effective Community-Hierarchy-Based Mutual Voting Approach for Influence Maximization in Complex Networks
Yi Liu
,
Xiaoan Tang
,
Witold Pedrycz
,
Qiang Zhang
Article
2025
A cost-effective community-hierarchy-based mutual voting approach for influence maximization in complex networks
Yi Liu
,
Xiaoan Tang
,
Witold Pedrycz
,
Qiang Zhang
Preprint
2023
Fair Influence Maximization in Social Networks: A Community-Based Evolutionary Algorithm
Kaicong Ma
,
Xinxiang Xu
,
Haipeng Yang
,
Renzhi Cao
,
Lei Zhang
Article
2024
Multi-level information fusion Transformer with background filter for fine-grained image recognition
Ying Yu
,
Jinghui Wang
,
Witold Pedrycz
,
Duoqian Miao
,
Jin Qian
Article
2025
MLFNet: A novel multi-level fusion mechanical fault diagnosis network under limited and imbalanced datasets using multi-source information
Yue Yu
,
Hamid Reza Karimi
,
Marek Pawełczyk
Discussion(0)
No comments yet. Be the first to comment.