# What is the central bank of Wikipedia?

## TL;DR

This paper uses the reduced Google matrix algorithm on Wikipedia to analyze global banks' influence and interactions, revealing the dominant influence of US banks despite China's top asset rankings.

## Contribution

It introduces a novel application of the reduced Google matrix algorithm to Wikipedia data for analyzing global bank influence and interactions.

## Key findings

- US banks dominate network influence despite China's top asset rank
- Goldman Sachs identified as the central bank in the network
- Developed GPU-accelerated code for faster computations

## Abstract

We analyze the influence and interactions of 60 largest world banks for 195 world countries using the reduced Google matrix algorithm for the English Wikipedia network with 5 416 537 articles. While the top asset rank positions are taken by the banks of China, with China Industrial and Commercial Bank of China at the first place, we show that the network influence is dominated by USA banks with Goldman Sachs being the central bank. We determine the network structure of interactions of banks and countries and PageRank sensitivity of countries to selected banks. We also present GPU oriented code which significantly accelerates the numerical computations of reduced Google matrix.