Abstract
We provide an empirical analysis of network structure of the Chinese creditee market based on a unique data set from the China Banking Regulatory Commission (CBRC). The data set includes guarantee and shareholding relationships among customers of the top 19 commercial banks in China. With these data, we construct three creditee linkage networks: guarantee network, shareholding network and mixed network. Then we employ complex network measures to extract topological characteristics of the three creditee networks. We find that out-degree and in-degree distributions of the three networks are power law and exponential, respectively. In addition, in the three creditee networks, distributions of component size fit power law. Finally, compared with other real networks (such as networks of Facebook, Google+, Twitter, Citation, Paper cooperation, Web link), the average clustering coefficient, connectivity and density of creditee networks are smaller.
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This research is supported by the National Natural Science Foundation of China under grant number of 71532013.
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Wang, Y., Yang, M., Chen, X., Zhou, C., Yang, X. (2016). The Network Topology of the Chinese Creditees. In: Chen, J., Nakamori, Y., Yue, W., Tang, X. (eds) Knowledge and Systems Sciences. KSS 2016. Communications in Computer and Information Science, vol 660. Springer, Singapore. https://doi.org/10.1007/978-981-10-2857-1_9
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DOI: https://doi.org/10.1007/978-981-10-2857-1_9
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