Detecting -Vertex Cuts in Sparse Networks via a Fast Local Search Approach

Y Zhou, G Wang, MC Zhou - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The k-vertex cut (k-VC) problem belongs to the family of the critical node detection problems,
which aims to find a minimum subset of vertices whose removal decomposes a graph into at …

Mutual Influence in Citation and Cooperation Patterns

C Fu, H Luo, X Liang, Y Min, Q Xuan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Measuring the influence of scientists and their activities on science and society is important
and indeed essential for many studies. Despite the substantial efforts devoted to exploring …

Characterizing the importance of nodes with information feedback in multilayer networks

M Li, Y Jiang, Z Di - Information Processing & Management, 2023 - Elsevier
Characterizing the importance of agents or events with possible related information is an
important topic in information science. Due to the related agents and events usually can be …

Identifying influential nodes based on new layer metrics and layer weighting in multiplex networks

A Bouyer, M Mohammadi, B Arasteh - Knowledge and Information Systems, 2024 - Springer
Identifying influential nodes in multiplex complex networks have a critical importance to
implement in viral marketing and other real-world information diffusion applications …

Identifying Influential Nodes in Complex Networks From Semi-Local and Global Perspective

W Liu, P Lu, T Zhang - IEEE Transactions on Computational …, 2023 - ieeexplore.ieee.org
How to accurately identify influential nodes in complex networks remains a challenge due to
the increasing network scale, complex topology, and dynamic network behaviors. Although …

Influential node detection and ranking with fusion of heterogeneous social media information

S Rani, M Kumar - IEEE Transactions on Computational Social …, 2022 - ieeexplore.ieee.org
Identification of influential nodes has emerged as one of the major challenges, especially
after their use in the rapid propagation of information, epidemics, and so on in social media …

Risk identification of public opinion on social media: a new approach based on cross-spatial network analysis

Y Li, X Xu, M Riaz, Y Su - The Electronic Library, 2024 - emerald.com
Purpose This study aims to use geographical information on social media for public opinion
risk identification during a crisis. Design/methodology/approach This study constructs a …

The profit and risk in the interdisciplinary behavior

C Fu, H Luo, X Liang, S Yu - Frontiers in Physics, 2023 - frontiersin.org
Evaluating the influence of interdisciplinary research is important to the development of
science. This work considers the large and small disciplines, calculates the interdisciplinary …

Entropy-based node importance identification method for public transportation infrastructure coupled networks: a case study of Chengdu

Z Zeng, Y Sun, X Zhang - Entropy, 2024 - mdpi.com
Public transportation infrastructure is a typical, complex, coupled network that is usually
composed of connected bus lines and subway networks. This study proposes an entropy …

A new important nodes identification method in multi-layer heterogeneous combat network with meta-path centrality

L Sun, Y Zhou, C Zhu, W Zhang - Journal of Complex Networks, 2024 - academic.oup.com
Identifying important nodes is of great significance to improving the stability and security of
heterogeneous combat networks. Due to the heterogeneity of nodes and the diversity of …