Open AccessMeasurement and simulation of the relatively competitive advantages and weaknesses between economies based on bipartite graph theory
Author(s) -
Jiancheng Guan,
Xiaoyu Xu,
Shan Wu,
Lizhi Xing
Publication year - 2018
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0197575
Subject(s) - bipartite graph , complex network , graph theory , econophysics , computer science , resource (disambiguation) , complex system , economics , graph , industrial organization , operations research , econometrics , theoretical computer science , mathematics , artificial intelligence , computer network , combinatorics , world wide web
The input-output table is very comprehensive and detailed in describing the national economic systems with abundant economic relationships, which contain supply and demand information among various industrial sectors. The complex network, a theory, and method for measuring the structure of a complex system can depict the structural characteristics of the internal structure of the researched object by measuring the structural indicators of the social and economic systems, revealing the complex relationships between the inner hierarchies and the external economic functions. In this paper, functions of industrial sectors on the global value chain are to be distinguished with bipartite graph theory, and inter-sector competitive relationships are to be extracted through resource allocation process. Furthermore, quantitative analysis indices will be proposed under the perspective of a complex network, which will be used to bring about simulations on the variation tendencies of economies’ status in different situations of commercial intercourses. Finally, a new econophysics analytical framework of international trade is to be established.