Complex networks embedded in space: Dimension and scaling relations between mass, topological distance and Euclidean distance
Thorsten EmmerichArmin BundeShlomo HavlinGuanlian LiDaqing LiPublished in: CoRR (2012)
Keyphrases
- euclidean distance
- complex networks
- high dimensional spaces
- distance measure
- distance function
- distance metric
- manhattan distance
- geodesic distance
- community detection
- mahalanobis distance
- dimensionality reduction
- social network analysis
- network analysis
- similarity measure
- euclidean space
- data points
- network structure
- community structure
- graph theory
- feature vectors
- kernel induced
- dynamic time warping
- social networks
- link prediction
- cosine distance
- information theoretic concepts
- dimensional data
- euclidean norm
- vector space
- small world
- scale free
- biological networks
- similarity search
- machine learning
- low dimensional
- minimum distance
- distance measurement
- scale free networks
- high dimensional