원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.7 No.2
2014.04
pp.365-376
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In this paper, we applied the visibility graph algorithm to change the well log data into a complex network. The degree distribution of this complex network existed exponential distribution, which indicated the scale free property of our network. Compared the original curve with the corresponding degree and cluster coefficient, we found that the shape information of original well log has been inherited by the network. The hierarchical coefficient of the complex network is about 2, which indicates the hierarchical structure in the network. All the data show that it is feasible and significant to translate the well log data into a complex network.
목차
Abstract
1. Introduction
1.1. Graph
1.2. Visibility Graph
1.3. Geophysical Logging
2. A Complex Network of Gamma Ray Log by Visibility Graph
2.1. Wavelet Filter
2.2. Degree Distribution and the Cluster Coefficient
2.3. The Hierarchical Coefficient
2.4. Multiple-edges Graph
3. Solution
4. Future Work
Acknowledgements
References
1. Introduction
1.1. Graph
1.2. Visibility Graph
1.3. Geophysical Logging
2. A Complex Network of Gamma Ray Log by Visibility Graph
2.1. Wavelet Filter
2.2. Degree Distribution and the Cluster Coefficient
2.3. The Hierarchical Coefficient
2.4. Multiple-edges Graph
3. Solution
4. Future Work
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보