The fractal dimension of complex networks: A review

T Wen, KH Cheong - Information Fusion, 2021 - Elsevier
The fractal property is one of the most important properties in complex networks. It describes
the power law relationship between characteristics of the box and the box size. There are …

An improved gravity model to identify influential nodes in complex networks based on k-shell method

X Yang, F **ao - Knowledge-Based Systems, 2021 - Elsevier
To find the important nodes in complex networks is a fundamental issue. A number of
methods have been recently proposed to address this problem but most previous studies …

Identification of influential nodes in complex networks: A local degree dimension approach

S Zhong, H Zhang, Y Deng - Information Sciences, 2022 - Elsevier
The importance of researches on complex networks is becoming more and more prominent.
How to identify influential nodes is still an urgent and crucial issue of many researches on …

Node influence ranking in complex networks: A local structure entropy approach

M Lei, KH Cheong - Chaos, Solitons & Fractals, 2022 - Elsevier
The mining of important nodes in complex networks is a topic of immense interest due to its
wide applications across many disciplines. In this paper, a Local Structure Entropy (LSE) …

Finding influential nodes in social networks based on neighborhood correlation coefficient

A Zareie, A Sheikhahmadi, M Jalili… - Knowledge-based …, 2020 - Elsevier
Finding the most influential nodes in social networks has significant applications. A number
of methods have been recently proposed to estimate influentiality of nodes based on their …

Identifying influential nodes in complex networks: Effective distance gravity model

Q Shang, Y Deng, KH Cheong - Information Sciences, 2021 - Elsevier
The identification of important nodes in complex networks is an area of exciting growth due
to its applications across various disciplines like disease control, data mining and network …

Identifying the critical nodes in multi-modal transportation network with a traffic demand-based computational method

L Wang, S Zhang, G Szűcs, Y Wang - Reliability Engineering & System …, 2024 - Elsevier
In the last decade, there has been an abundance of research on identifying critical nodes in
single-modal transportation network, but less for multi-modal transportation network (MTN) …

GMM: A generalized mechanics model for identifying the importance of nodes in complex networks

F Liu, Z Wang, Y Deng - Knowledge-Based Systems, 2020 - Elsevier
How to assess the importance of nodes in the network is an open question. There are many
ways to identify the importance of nodes in complex networks. However, these methods …

AOGC: An improved gravity centrality based on an adaptive truncation radius and omni-channel paths for identifying key nodes in complex networks

P Yang, F Meng, L Zhao, L Zhou - Chaos, Solitons & Fractals, 2023 - Elsevier
Identifying key nodes that have a significant impact on network structure and function is a
fundamental issue with numerous practical applications and technical challenges. The …

The identification of crucial spreaders in complex networks by effective gravity model

S Li, F **ao - Information Sciences, 2021 - Elsevier
A complex network is a network that has the characteristics of small world, clustering, and
power-law distribution. The discovery of crucial spreaders, as one of the significant research …