EGBTER: Capturing degree distribution, clustering coefficients, and community structure in a single random graph model.
Omar El-DagharErik LundbergRobert A. BridgesPublished in: CoRR (2018)
Keyphrases
- graph model
- community structure
- degree distribution
- complex networks
- bipartite networks
- scale free
- community discovery
- clustering method
- bipartite graph
- community detection
- graph partitioning
- social networks
- small world
- clustering coefficient
- heavy tailed
- real world networks
- power law
- link prediction
- preferential attachment
- network analysis
- power law degree distribution
- weighted graph
- graph structure
- information retrieval
- graph theoretic
- clustering algorithm
- similarity measure
- language model
- network evolution
- generalized gaussian
- feature vectors
- random graphs
- wavelet coefficients
- graph theory
- social network analysis
- network model
- cluster analysis
- structural properties