Role discovery is the task of dividing the set of nodes on a graph into classes of structurally similar roles.
May 26, 2023
Graph clustering is an important task of discovering the underlying structure in a network. Well-known methods such as the normalized cut and ...
Therefore, we propose a new graph clustering methods named RoClust, which uses three roles, bridges, gateways and hubs to discover communities. Each of the ...
In this paper, we discover borders of communities by using bridges, gateways and hubs, and then uncover the whole community structure by propagating memberships ...
Therefore, we propose a new graph clustering methods named RoClust, which uses three roles, bridges, gateways and hubs to discover communities. Each of the ...
Detecting coherent, well-connected communities in large graphs provides insight into the graph structure and can serve as the basis for content discovery.
Therefore, we propose a new graph clustering methods named RoClust, which uses three roles, bridges, gateways and hubs to discover communities. Each of the ...
Jan 1, 2013 · We propose a new graph clustering methods named RoClust, which uses three roles, bridges, gateways and hubs to discover communities.
Thus, we propose a new graph clustering method, named RoClust, which uses three different kinds of roles, each of which represents a different kind of vertices ...
Nov 3, 2016 · Role discovery was first defined as any process that divides the nodes of a graph into classes of structural equivalent nodes [4]. These classes ...