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 …

Visibility graph for time series prediction and image classification: a review

T Wen, H Chen, KH Cheong - Nonlinear Dynamics, 2022 - Springer
The analysis of time series and images is significant across different fields due to their
widespread applications. In the past few decades, many approaches have been developed …

Probability transformation of mass function: A weighted network method based on the ordered visibility graph

L Chen, Y Deng, KH Cheong - Engineering Applications of Artificial …, 2021 - Elsevier
Transform of basic probability assignment to probability distribution is an important aspect of
decision making process. To address this issue, a weighted network method based on the …

Information volume of fuzzy membership function

J Deng, Y Deng - … Journal of Computers Communications & Control, 2021 - univagora.ro
Fuzzy membership function plays an important role in fuzzy set theory. However, how to
measure the information volume of fuzzy membership function is still an open issue. The …

Information fractal dimension of mass function

C Qiang, Y Deng, KH Cheong - Fractals, 2022 - World Scientific
Fractals play an important role in nonlinear science. The most important parameter when
modeling a fractal is the fractal dimension. Existing information dimension can calculate the …

Modeling and analysis of rumor propagation in social networks

Z Yu, S Lu, D Wang, Z Li - Information Sciences, 2021 - Elsevier
Rumors affect a variety of human affairs, which may cause a serious social disorder. In order
to accurately simulate the propagation dynamics of rumors in real social networks and …

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) …

A belief Hellinger distance for D–S evidence theory and its application in pattern recognition

C Zhu, F Xiao - Engineering Applications of Artificial Intelligence, 2021 - Elsevier
Abstract Dempster–Shafer (D–S) evidence theory has been studied and applied broadly,
owing to its advantage of effectively handling uncertainty problems in multisource …

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 …

A rumor reversal model of online health information during the Covid-19 epidemic

X Wang, Y Li, J Li, Y Liu, C Qiu - Information Processing & Management, 2021 - Elsevier
The development of the Internet and social media has expanded the speed and scope of
information dissemination, but not all widely disseminated information is true. Especially …