Abstract
This paper explores how bilateral and multilateral clustering are embedded in a multilevel system of interdependent networks. We argue that in complex systems in which bilateral and multilateral relations are themselves interrelated, such as global fisheries governance, embeddedness cannot be reduced to unipartite or bipartite clustering but implicates multilevel closure. We elaborate expectations for ties’ multilevel embeddedness based on network theory and substantive considerations and explore them using a multilevel ERGM. We find states’ bilateral ties are embedded in their shared membership in multilateral fisheries agreements, which is itself clustered around foci represented by similar content and treaty secretariats.
Original language | English |
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Pages (from-to) | 281-294 |
Number of pages | 13 |
Journal | Social Networks |
Volume | 44 |
DOIs | |
Publication status | Published - Jan 2016 |
Keywords
- Clustering
- Multilevel networks
- Exponential random graph models
- Bilateral agreements
- Multilateral agreements
- Global fisheries governance