Dynamic Network Model of Economic Indicators Based on Time Series Analysis
- DOI
- 10.2991/978-94-6463-419-8_3How to use a DOI?
- Keywords
- complex network; dynamical model; time series analysis
- Abstract
The new agenda of Sustainable Development Goals is broad and ambitious, addressing the sustainable development economic and financial resources. To better analyze the trend of economics development of the countries worldwide, the mixed linear effect model was proposed to quantify the indicators of each country, and obtained the quantified rate of the indexes through time series analysis, as well as establish a weighted complex network model. This paper also modelled the dynamical complex network, using a hierarchical approach to divide the countries into two intervals according to the SDG index. Without considering and with considering timestamps, static and dynamic analysis of complex networks in discrete time series differential methods were carried out respectively. Finally, the sensitivity of the model was analyzed, categorizing what needs to be realized, forecasting profits based on time series analysis.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Hengrui Zhu AU - Zhitao Wang AU - Mingyue Liu AU - Xumin Song PY - 2024 DA - 2024/05/07 TI - Dynamic Network Model of Economic Indicators Based on Time Series Analysis BT - Proceedings of the 3rd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2024) PB - Atlantis Press SP - 11 EP - 17 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-419-8_3 DO - 10.2991/978-94-6463-419-8_3 ID - Zhu2024 ER -