Modeling of Household Financial Behavior Types in China Based on Complex Network Theory

DOI

10.2991/smont-19.2019.1How to use a DOI?

Keywords

complexity perspective; influence factor; household financial behavior; fuzzy clustering; random forest

Abstract

From the perspective of complexity science, the influencing factors of household financial behavior in China are presented, then the current situation and development characteristics of household financial behavior also given. The complexity characteristics of household financial behavior in China, such as openness, dynamics, non-periodicity and self-organizing criticality are probed. By using the method of fuzzy clustering and random forest algorithm model, the types of household financial behavior in China are classified and an empirical simulation analysis is made. The simulation results show the validity and accuracy of the model.

Copyright

© 2019, 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  - Ying Liu
AU  - Jun Li
AU  - Junchan Zhao
AU  - Mei Wu
AU  - Liuxi He
PY  - 2019/04
DA  - 2019/04
TI  - Modeling of Household Financial Behavior Types in China Based on Complex Network Theory
BT  - Proceedings of the 2019 International Conference on Modeling, Simulation, Optimization and Numerical Techniques (SMONT 2019)
PB  - Atlantis Press
SP  - 1
EP  - 5
SN  - 1951-6851
UR  - https://doi.org/10.2991/smont-19.2019.1
DO  - 10.2991/smont-19.2019.1
ID  - Liu2019/04
ER  -