Multi-graph Clustering Based on Interior-Node Topology with Applications to Brain Networks.
Guixiang MaLifang HeBokai CaoJiawei ZhangPhilip S. YuAnn B. RaginPublished in: ECML/PKDD (1) (2016)
Keyphrases
- small world
- overlapping communities
- small world networks
- betweenness centrality
- edge weights
- graph structure
- fully connected
- path length
- directed graph
- degree distribution
- complex networks
- average degree
- heterogeneous social networks
- social networks
- undirected graph
- scale free
- shortest path
- densely connected
- graph structures
- community structure
- weighted graph
- power law
- clustering coefficient
- community discovery
- network structure
- graph theory
- neighboring nodes
- source node
- citation networks
- bipartite graph
- structured data
- finding the shortest path
- connected components
- graph mining
- community detection
- tree structure
- random walk
- brain connectivity
- random graphs
- network nodes
- destination node
- network size
- online social networks
- directed acyclic graph