# Individual position diversity in dependence socioeconomic networks increases economic output

## TL;DR

This study reveals that individuals' diversity in their positions within dependence networks from MMORPGs correlates positively with their economic output, highlighting the importance of network structure in socioeconomic systems.

## Contribution

It introduces a novel analysis of dependence network motifs and classifies individuals based on structural similarity, linking position diversity to economic performance.

## Key findings

- Node position diversity is positively correlated with economic output.
- Leaf nodes have significantly lower economic outputs than other nodes.
- Structural similarity of motif positions helps classify individuals into meaningful groups.

## Abstract

The availability of big data recorded from massively multiplayer online role-playing games (MMORPGs) allows us to gain a deeper understanding of the potential connection between individuals' network positions and their economic outputs. We use a statistical filtering method to construct dependence networks from weighted friendship networks of individuals. We investigate the 30 distinct motif positions in the 13 directed triadic motifs which represent microscopic dependences among individuals. Based on the structural similarity of motif positions, we further classify individuals into different groups. The node position diversity of individuals is found to be positively correlated with their economic outputs. We also find that the economic outputs of leaf nodes are significantly lower than that of the other nodes in the same motif. Our findings shed light on understanding the influence of network structure on economic activities and outputs in socioeconomic system.