Bloch, Francis; Jackson, Matthew O.; Tebaldi, Pietro - 2021
We show that prominent centrality measures in network analysis are all based on additively separable and linear treatments of statistics that capture a node's position in the network. This enables us to provide a taxonomy of centrality measures that distills them to varying on two dimensions:...