Network Topological Modeling on Private Equity Investment

DOI

10.2991/ammsa-17.2017.18How to use a DOI?

Keywords

private equity investment; complex network; regional difference

Abstract

A private equity investment network can be composed of nodes and edges which represent the regions and the private equity relationship between regions respectively. This paper analyzes the network's density, average path length, clustering coefficient degree, betweeness, closeness centrality and its core-periphery structure to investigate the characteristics of the cross-regional PE investment network. The result indicates that China's PE investment varies from regions; whether they are in the core area or periphery area, enterprises are more likely to invest in or be invested by enterprises in the core area.

Copyright

© 2017, 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/).

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TY  - CONF
AU  - Tian Lv
AU  - Jinchuan Ke
PY  - 2017/05
DA  - 2017/05
TI  - Network Topological Modeling on Private Equity Investment
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
PB  - Atlantis Press
SP  - 82
EP  - 86
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-17.2017.18
DO  - 10.2991/ammsa-17.2017.18
ID  - Lv2017/05
ER  -