[HTML][HTML] Effects of weak ties on epidemic predictability on community networks

P Shu, M Tang, K Gong, Y Liu - Chaos: An Interdisciplinary Journal of …, 2012 - pubs.aip.org
Weak ties play a significant role in the structures and the dynamics of community networks.
Based on the contact process, we study numerically how weak ties influence the …

A class of vertex–edge-growth small-world network models having scale-free, self-similar and hierarchical characters

F Ma, J Su, Y Hao, B Yao, G Yan - Physica A: Statistical Mechanics and its …, 2018 - Elsevier
The problem of uncovering the internal operating function of network models is intriguing,
demanded and attractive in researches of complex networks. Notice that, in the past two …

On the role of hubs in the coherence of unicyclic and bicyclic networks

L Zhou, X Li, W Sun - International Journal of Modern Physics C, 2023 - World Scientific
In this paper, we aim to study the role of hubs in the network coherence quantified by the
Laplacian spectra and choose two families of unicyclic and bicyclic networks with the same …

Coarse graining method based on generalized degree in complex network

YS Long, Z Jia, YY Wang - Physica A: Statistical Mechanics and its …, 2018 - Elsevier
Coarse graining technology is one of the important methods to study large-scale complex
networks currently. Here, we propose a generalized-degree-based coarse graining (GDCG) …

Transfer stability of urban subway network with passenger flow: Evidence in Beijing

H Zhang, B Shi, X Yu, Z Mou, M Li, L Wang… - International Journal of …, 2018 - World Scientific
Stability of urban subway systems is a crucial issue in daily operation. This paper proposes
a node failing process to test the stability of subway network by structure-based and flow …

[HTML][HTML] Extraction of bouton-like structures from neuropil calcium imaging data

K Fukumasu, A Nose, H Kohsaka - Neural Networks, 2022 - Elsevier
The neuropil, the plexus of axons and dendrites, plays a critical role in operating the circuit
processing of the nervous system. Revealing the spatiotemporal activity pattern within the …

A coarse graining algorithm based on m-order degree in complex network

QL Yang, LF Wang, GT Zhao, G Guo - Physica A: Statistical Mechanics and …, 2020 - Elsevier
The coarse-grained technology of complex networks is a promising method to analyze large-
scale networks. Coarse-grained networks are required to preserve some properties of the …

A fast estimation algorithm of community number in large scale-free complex networks

P Fu, SA Zhu, A Zhu, X Dong - International Journal Of Modern …, 2014 - World Scientific
In conventional community detecting algorithms, the community number is always a bypass
product and cannot be estimated before partitioning. Since partitioning large scale and …

Analysis of Crude Oil Price Fluctuation and Transition Characteristics at Different Timescales Based on Complex Networks

J Yan, J Ma - Smart Service Systems, Operations Management, and …, 2020 - Springer
Based on the theory of complex network, the crude price data for 30 years is processed by
coarse-graining method and the price fluctuation network of crude oil is constructed …

Analysis of Crude Oil Price Fluctuation and Transition Characteristics at Different Timescales Based

J Yan, J Ma - … Management, and Analytics: Proceedings of the …, 2019 - books.google.com
Based on the theory of complex network, the crude price data for 30 years is processed by
coarse-graining method and the price fluctuation network of crude oil is constructed …