Network Graph Generation through Adaptive Clustering and Infection Dynamics: A Step Towards Global Connectivity.
Aniq Ur RahmanFares FouratiKhac-Hoang NgoAnish JindalMohamed-Slim AlouiniPublished in: CoRR (2021)
Keyphrases
- graph theoretic
- strongly connected
- recurrent networks
- graph clustering
- clustering algorithm
- connected components
- spanning tree
- graph partitioning
- graph model
- network connectivity
- global information
- small world
- complex networks
- clustering method
- unsupervised learning
- k means
- propagation model
- fully connected
- network dynamics
- data clustering
- graphical representation
- heterogeneous information networks
- random graphs
- graph construction
- protein interaction networks
- spectral clustering
- network traffic
- dynamical systems
- data points
- community discovery
- clustering coefficient
- power law degree distribution
- densely connected
- graph connectivity
- neural network
- similarity matrix
- network model
- graph structure
- graph theory
- bipartite graph
- link prediction
- directed graph
- cluster analysis
- self organizing maps
- random walk
- wireless sensor networks
- social networks