Computational analysis of structural properties of economic and financial networks

被引:8
作者
Emmert-Streib, Frank [1 ,2 ]
Musa, Aliyu [1 ,2 ]
Baltakys, Kestutis [3 ]
Kanniainen, Juho [3 ]
Tripathi, Shailesh [1 ]
Yli-Harja, Olli [2 ,4 ]
Jodlbauer, Herbert [5 ]
Dehmer, Matthias [5 ,6 ,7 ]
机构
[1] Tampere Univ Technol, Predict Med & Data Analyt Lab, Dept Signal Proc, Korkeakoulunkatu 3, Tampere 33720, Finland
[2] Tampere Univ Technol, Inst Biosci & Med Technol, Korkeakoulunkatu 3, Tampere 33720, Finland
[3] Tampere Univ Technol, Ind & Informat Management, Korkeakoulunkatu 3, Tampere 33720, Finland
[4] Inst Syst Biol, 401 Terry Ave North, Seattle, WA 98109 USA
[5] Univ Appl Sci Upper Austria, Inst Intelligent Prod, Fac Management, Steyr Campus,Wehrgrabengasse 1-3, A-4400 Steyr, Austria
[6] UMIT Hlth & Lifesci Univ, Dept Biomed Comp Sci & Mechatron, Eduard Wallnofer Zentrum 1, A-6060 Hall In Tirol, Austria
[7] Nankai Univ, Coll Comp & Control Engn, 38 Tongyan Rd, Tianjin 300350, Peoples R China
来源
JOURNAL OF NETWORK THEORY IN FINANCE | 2018年 / 4卷 / 03期
基金
欧盟地平线“2020”; 奥地利科学基金会;
关键词
economic networks; network science; social networks; economy; econometrics; computational social science; financial networks;
D O I
10.21314/JNTF.2018.043
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
In recent years, methods from network science have been rapidly gaining traction in economics and finance. One reason for this is that, in a globalized world, it is crucial that we understand the interconnections between economic and financial entities; networks provide a natural framework for representing and studying such systems. In this paper, we survey the use of networks and network-based methods to study economy-related questions. We start with a brief overview of graph theory and some basic definitions. Then, we discuss descriptive network measures and network complexity measures for quantifying the structural properties of economic networks. Finally, we discuss different network and tree structures as well as their relevance to certain applications.
引用
收藏
页码:1 / 32
页数:32
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