A Complex Network Model for Analyzing Railway Accidents Based on the Maximal Information Coefficient

2016 ◽  
Vol 66 (4) ◽  
pp. 459-466 ◽  
Author(s):  
Fu-Bo Shao ◽  
Ke-Ping Li
Keyword(s):  
Complex Network ◽  
Network Model ◽  
Information Coefficient ◽  
Maximal Information Coefficient

Finding Hidden Communities in Complex Networks from Chaotic Time Series

2016 ◽  
Vol 3 (2) ◽  
pp. 350
Author(s):  
Jiancheng Sun
Keyword(s):  
Time Series ◽  
Complex Networks ◽  
Complex Network ◽  
Chaotic Time Series ◽  
Topology Structure ◽  
Complex Network Theory ◽  
Single Vertex ◽  
Reconstructed Phase Space ◽  
Information Coefficient ◽  
Maximal Information Coefficient

Recent works show that complex network theory may be another powerful tool in time series analysis. In this paper, we construct complex networks from the chaotic time series with Maximal Information Coefficient (MIC). Each vector point in the reconstructed phase space is represented by a single vertex and edge determined by MIC. By using the Chua’s circuit system, we illustrate the potential of these complex network measures for the detection of the topology structure of the network. Comparing with the linear relationship measure, we find that the topology structure of the community with MIC reveals the hidden or implied correlation of the network.

scholarly journals Cleaning up the record on the maximal information coefficient and equitability

2014 ◽  
Vol 111 (33) ◽  
pp. E3362-E3363 ◽  
Author(s):  
D. N. Reshef ◽  
Y. A. Reshef ◽  
M. Mitzenmacher ◽  
P. C. Sabeti
Keyword(s):  
Information Coefficient ◽  
Maximal Information Coefficient

Novel complex network model and its application in identifying critical components of power grid

2018 ◽  
Vol 512 ◽  
pp. 316-329 ◽  
Author(s):  
Chong Chen ◽  
Xuan Zhou ◽  
Zhuo Li ◽  
Zhiheng He ◽  
Zhengtian Li ◽  
...  
Keyword(s):  
Complex Network ◽  
Network Model ◽  
Power Grid ◽  
Novel Complex ◽  
Critical Components

Resolution dependence of the maximal information coefficient for noiseless relationship

2013 ◽  
Vol 24 (5) ◽  
pp. 845-852 ◽  
Author(s):  
Shih-Chang Lee ◽  
Ning-Ning Pang ◽  
Wen-Jer Tzeng
Keyword(s):  
Information Coefficient ◽  
Maximal Information Coefficient

A tree-like complex network model

2010 ◽  
Vol 389 (1) ◽  
pp. 171-178 ◽  
Author(s):  
Yuying Gu ◽  
Jitao Sun
Keyword(s):  
Complex Network ◽  
Network Model

The Research of Complex Network on Archives Blog

2011 ◽  
Vol 181-182 ◽  
pp. 14-18
Author(s):  
Yi He
Keyword(s):  
Information Sharing ◽  
Complex Network ◽  
Network Model ◽  
Degree Distribution ◽  
Small World ◽  
Scale Free ◽  
Set Up

At the background of archives blog on Internet, this paper constructs a directed complex network model, and analyzes the network characters such as degree distribution. To verify its efficiency, we collect blogs’ information and set up a complex network..From the analysis result of the simulation and demonstration network, we know that they have the same characters, which show that, the virtual society network has small-world effect and scale-free character compared with real society network. The results indicate that the establishment of archives blog is favor to spread rapidly archives information, improve information sharing efficiency and promote the development of archives technology.

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