[DSRP Evidence](https://dsrpevidence.org/)

# Multilayer financial similarity networks and systemic firm centrality in China

## Details

**Authors** Yu et al.

**Year** 2026

**Publisher** Applied Network Science

**Discipline** Economics

**Secondary disciplines** Network Science

[Read it at the publisher](https://doi.org/10.1007/s41109-026-00833-z) 
10.1007/s41109-026-00833-z

## In authors' words

### What they found (results)

In multilayer networks of Chinese and Hong Kong listed firms built from GLOBAL, RISK, and RETURN accounting-ratio similarity layers, average annual top-10 centrality overlap between layers ranged from just 1.33 to 5.50 firms, showing that which firms appear systemically 'central' depends on which accounting lens is used to construct the network.

## Commentary

### In short

The same set of firms yields different 'central' members depending on which measurement perspective (accounting layer) is used to build the network, showing that systemic importance is perspective-dependent rather than an intrinsic property of the firm.

**Patterns it shows** S, P

**Added** 2026-09-10

**How to cite this** Yu et al. (2026). Multilayer financial similarity networks and systemic firm centrality in China. Applied Network Science.