Parameterless Pruning Algorithms for Similarity-Weight Network and Its Application in Extracting the Backbone of Global Value Chain

Network analysis has found widespread utility in many research areas. However, assessing the statistical significance of observed relationships within networks remains a complex challenge. Traditional node permutation tests are often insufficient in capturing the effect of changing network topology by creating reliable null distributions. We propose two randomization alternatives to address this gap: random rewiring and controlled rewiring. These methods incorporate changes in the network topology through edge swaps. However, controlled rewiring allows for more nuanced alterations of the original network than random rewiring. In this sense, this paper introduces a novel evaluation tool, the Expanded Quadratic Assignment Procedure (EQAP), designed to calculate a specific p-value and interpret statistical tests with enhanced precision. The combination of EQAP and controlled rewiring provides a robust network comparison and statistical analysis framework. The methodology is exemplified through two real-world examples: the analysis of an organizational network structure, illustrated by the Enron-Email dataset, and a social network case, represented by the UK Faculty friendship network. The utility of these statistical tests is underscored by their capacity to safeguard researchers against Type I errors when exploring network metrics dependent on intricate topologies.

show abstract

China vs. USA: Unpacking Their Central Roles in the Global Production Network

Guan,

Liu,

Xing

et al. 2024

Preprint

View full text Add to dashboard Cite

The United States, as the world's largest consumer market, is through the "Climate Act", "De-Risking", and other means, and continues to promote friend-shoring, near-shoring, and industrial chain relocation plan to China's import and export trade recovery a layer of haze. From 2020 onwards, China will gradually decline from the United States' largest trading partner to the third largest trading partner, surpassed by Mexico and Canada, and the gap in market share is increasing. In conclusion, Sino-US trade friction has profoundly changed the structure of the international division of labor and the structure of traded commodities, and how to measure the impact on the global economic system as well as the industrial status of the two countries from the perspective of complexity science has become an important issue worthy of research. This paper utilizes the Multi-Region Input-Output (MRIO) Data compiled by the Asian Development Bank (ADB) to construct the Global Production Network (GPN) aimed at restoring the transfer process of intermediate products in the Global Value Chain (GVC), and designs a dynamic network characteristic indicator based on the biased random walk process, and uses it to measure the industrial impact and demand dependence of the industrial sector on a global scale. The study shows that Sino-US trade friction can ostensibly protect the United States trade, but it actually hinders the process of globalization, and can only win a certain competitive advantage for it in the short term; in the long run, this unilateral protection behavior is not only detrimental to the integration of the global economy, but will also exacerbate the trade deficit, intensify trade friction, and weaken its own economic strength. Finally, based on the principles of "mutual respect, peaceful coexistence, and win-win cooperation", this paper puts forward policy recommendations for expanding and deepening economic and trade cooperation between the two countries.

show abstract

Parameterless Pruning Algorithms for Similarity-Weight Network and Its Application in Extracting the Backbone of Global Value Chain

Cited by 4 publications

References 35 publications

Substitution effect of Asian economies on China’s industrial and supply chains: from the perspective of global production network

Substitution effect of Asian economies on China’s industrial and supply chains: from the perspective of global production network

Structure matters: Assessing the statistical significance of network topologies

China vs. USA: Unpacking Their Central Roles in the Global Production Network

Contact Info

Product

Resources

About