High-degree penalty based global statistical network embedding for name disambiguation in anonymized graph.
Shengxing BaiChenyang BuXindong WuPublished in: Concurr. Comput. Pract. Exp. (2024)
Keyphrases
- random graphs
- clustering coefficient
- degree distribution
- global information
- low degree
- network structure
- network model
- fully connected
- statistical information
- spanning tree
- social network data
- weighted graph
- dynamic networks
- statistical analysis
- random walk
- graphical representation
- graph theory
- path length
- graph representation
- small world
- protein interaction networks
- graph model
- spectral embedding
- social networks
- graph mining
- bipartite graph
- link prediction
- directed graph
- network traffic
- complex networks
- structured data
- peer to peer
- wireless sensor networks