Title
Individual position diversity in dependence socioeconomic networks increases economic output.
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 systems.
Year
DOI
Venue
2017
10.1140/epjds/s13688-017-0105-9
EPJ Data Sci.
Keywords
DocType
Volume
position diversity,socioeconomic network,network motif,economic output
Journal
abs/1706.04730
Issue
ISSN
Citations 
1
Eur. Phys. J. Data Sci. 6, 10 (2017)
0
PageRank 
References 
Authors
0.34
15
5
Name
Order
Citations
PageRank
Wen-Jie Xie11269.98
Yan-Hong Yang200.68
Ming-Xia Li3806.13
Zhi-Qiang Jiang4685.20
Wei-Xing Zhou520615.05