Who Will Establish New Trade Relations? Looking for Potential Relationship in International Nickel Trade

Abstract

Nickel ore sand and its concentrate are the main sources of raw nickel materials in various countries. Due to its uneven distribution throughout the world, the international trade of nickel ore sand is also unstable. Looking for potential links in the changing international nickel ore trade can help governments find potential partners, make strategic preparations in advance, and quickly find new partners when original trade relationships break down. In this paper, we build an international nickel ore trade network using a link prediction method to find potential trade relations between countries. The results show that China and Italy, China and Denmark, China and Indonesia, and China and India are most likely to establish trade relations within five years. Finally, according to the research results, suggestions regarding the international nickel ore trade are proposed.

Prediction of the Potential Trade Relationship of Lithium-Ion Battery’s Main Element Raw Material Minerals Combined with the Local Characteristics of the Trade Network

“…Gradually, link prediction is widely used in the exploration of citation networks [36], cooperation networks [37], traffic networks [38], and social networks [39]. In recent years, Guan et al [40], Feng et al [41], Liu and Dong [42,43], Zhang et al [44], and Yang et al [45] applied link prediction algorithms to explore the rules for the formation of trade relations in international mineral trade networks. The studies of the above scholars indicate that these algorithms are effective in finding potential trade link relationships, but they are all concerned with undirected prediction and do not incorporate trade direction information into the prediction research.…”

Research on Nickel Material Trade Redistribution Strategy Based on the Maximum Entropy Principle

“…Zhou, et al [ 16 ] used a complex network method to find out the internal evolution law of international nickel ore trade. Yang, et al [ 17 ] helped countries involved in nickel resource trade to find potential trade relations through link prediction methods. However, with the prominent contradiction between supply and demand of nickel resources, the intricate relationships between countries form a trade network.…”

Prediction of the Potential Trade Relationship of a Lithium-Ion Battery's Main Element Raw Material Minerals: Combined with Local Characteristics of the Trade Network

“…Gradually, link prediction is widely used in the exploration of citation networks [36], cooperation networks [37], traffic networks [38], and social networks [39]. In recent years, Guan et al [40], Feng et al [41], Liu and Dong [42,43], Zhang et al [44], and Yang et al [45] applied link prediction algorithms to explore the rules for the formation of trade relations in international mineral trade networks. The studies of the above scholars indicate that these algorithms are effective in finding potential trade link relationships, but they are all concerned with undirected prediction and do not incorporate trade direction information into the prediction research.…”