Identifying influential nodes in complex networks from global perspective

J Zhao, Y Wang, Y Deng - Chaos, Solitons & Fractals, 2020 - Elsevier
How to identify influential nodes in complex networks is an open issue. Several centrality
measures have been proposed to address this. But these studies concentrate only on only …

Influential nodes identification in complex networks via information entropy

C Guo, L Yang, X Chen, D Chen, H Gao, J Ma - Entropy, 2020 - mdpi.com
Identifying a set of influential nodes is an important topic in complex networks which plays a
crucial role in many applications, such as market advertising, rumor controlling, and …

Identifying influential spreaders in complex networks based on improved k-shell method

M Wang, W Li, Y Guo, X Peng, Y Li - Physica A: Statistical Mechanics and …, 2020 - Elsevier
Identifying influential spreaders in complex networks is a fundamental network project. It has
drawn great attention in recent years because of its great theoretical significance and …

A new community-based algorithm based on a “peak-slope-valley” structure for influence maximization on social networks

P Yang, L Zhao, Z Lu, L Zhou, F Meng, Y Qian - Chaos, Solitons & Fractals, 2023 - Elsevier
Influence Maximization (IM) is a key algorithmic problem that has been extensively studied
in social influence analysis, but most of existing researches either make sacrifices in solution …

TSIFIM: A three-stage iterative framework for influence maximization in complex networks

C Dong, G Xu, P Yang, L Meng - Expert Systems with Applications, 2023 - Elsevier
The problem of influence maximization is a classic issue that has been well-studied in the
field of network science, but most of existing researches are compromising among …

Weighted kshell degree neighborhood: A new method for identifying the influential spreaders from a variety of complex network connectivity structures

A Namtirtha, A Dutta, B Dutta - Expert Systems with Applications, 2020 - Elsevier
Due to the fast and worldwide growth of the social network, it has become a potent platform
for broadcasting any information. Through the network, people can easily reach to a mass …

A novel methodology concentrating on risk propagation to conduct a risk analysis based on a directed complex network

X Ma, W Deng, W Qiao, H Luo - Risk Analysis, 2022 - Wiley Online Library
A novel methodology is proposed in the present study to describe the risk propagation
process by quantitatively evaluating the criticality and sensitivity of risk events according to …

An adaptive heuristic clustering algorithm for influence maximization in complex networks

PL Yang, GQ Xu, Q Yu, JW Guo - Chaos: An Interdisciplinary Journal of …, 2020 - pubs.aip.org
Influence maximization research in the real world allows us to better understand, accelerate
spreading processes for innovations and products, and effectively analyze, predict, and …

SpreadRank: a novel approach for identifying influential spreaders in complex networks

X Zhu, J Huang - Entropy, 2023 - mdpi.com
Identifying influential spreaders in complex networks is critical for information spread and
malware diffusion suppression. In this paper, we propose a novel influential spreader …

Identifying vital nodes for influence maximization in attributed networks

Y Wang, Y Zheng, Y Liu - Scientific Reports, 2022 - nature.com
Identifying a set of vital nodes to achieve influence maximization is a topic of general interest
in network science. Many algorithms have been proposed to solve the influence …