The Importance of Regions on Debt Networks

DOI

10.2991/aebmr.k.200306.049How to use a DOI?

Keywords

networks, vital nodes, centrality, epidemic model

Abstract

This paper researches the important regions identification on real-world debt networks via epidemic dynamic model. The authors observe that regions with lower betweenness centrality and higher clustering coefficient are unstable on the networks from the perspective of network topology. Moreover, excessive debt is not the only reason of the risk infection. Network topological structure is also a significant factor. The findings can deepen the understanding of the spread process of risk in real financial systems.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Wei Zhang
AU  - Ying Fan
PY  - 2020
DA  - 2020/03/11
TI  - The Importance of Regions on Debt Networks
BT  - Proceedings of the 5th International Conference on Financial Innovation and Economic Development (ICFIED 2020)
PB  - Atlantis Press
SP  - 282
EP  - 286
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.200306.049
DO  - 10.2991/aebmr.k.200306.049
ID  - Zhang2020
ER  -