An interpretable approach for social network formation among heterogeneous agents
Complex networks can be a useful tool to investigate problems in social science. Here the authors use game theory to establish a network model and then use a machine learning approach to characterize the role of nodes within a social network.
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2018-11-01
|
| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-018-07089-x |