Modulated Scale-free Network in the Euclidean Space
arXiv:cond-mat/0203216 · doi:10.1103/PhysRevE.66.066114
Abstract
A random network is grown by introducing at unit rate randomly selected nodes on the Euclidean space. A node is randomly connected to its -th predecessor of degree with a directed link of length using a probability proportional to . Our numerical study indicates that the network is Scale-free for all values of and the degree distribution decays stretched exponentially for the other values of . The link length distribution follows a power law: where is calculated exactly for the whole range of values of .
4 pages, 4 figures. To be published in Physical Review E
References in corpus (7)
- Statistical mechanics of complex networks
- Weighted Evolving Networks
- Scaling properties of scale-free evolving networks: Continuous approach
- Evolving networks with distance preferences
- Phase transitions in a network with range dependent connection probability
- Shortest paths on systems with power-law distributed long-range connections
- Small-world phenomena and the statistics of linear polymer networks
Cited by in corpus (46)
- Spatial Networks
- Small-world properties of the Indian Railway network
- The spatial structure of networks
- Uncovering individual and collective human dynamics from mobile phone records
- Uncovering space-independent communities in spatial networks
- Self-similar disk packings as model spatial scale-free networks
- The effects of spatial constraints on the evolution of weighted complex networks
- Preferential attachment growth model and nonextensive statistical mechanics
- Emergence of overlap in ensembles of spatial multiplexes and statistical mechanics of spatial interacting networks ensembles
- Geographical threshold graphs with small-world and scale-free properties
- Wiring cost in the organization of a biological network
- Critical fluctuations in spatial complex networks
- The urban economy as a scale-free network
- Unified model for network dynamics exhibiting nonextensive statistics
- Crossovers in ScaleFree Networks on Geographical Space
- Preferential attachment in growing spatial networks
- Corporate competition: A self-organized network
- Geographical networks evolving with optimal policy
- Complex networks embedded in space: Dimension and scaling relations between mass, topological distance and Euclidean distance
- Weighted Scale-free Networks in Euclidean Space Using Local Selection Rule
- Clustering properties of a generalised critical Euclidean network
- A directed network model for World-Wide Web
- The age-dependent random connection model
- Phase transitions in Ising model on a Euclidean network
- Growing networks under geographical constraints
- Geographical effects on epidemic spreading in scale-free networks
- Features and heterogeneities in growing network models
- Scale-free network on a vertical plane
- Phase transitions for random geometric preferential attachment graphs
- The Network of Commuters in London
- Modelling temporal and spatial features of collaboration network
- Geographical networks stochastically constructed by a self-similar tiling according to population
- Contact graphs of disk packings as a model of spatial planar networks
- Complex systems: features, similarity and connectivity
- Transitions in spatial networks
- Limit theorems for random spatial drainage networks
- Duality between preferential attachment and static random networks on hyperbolic spaces
- Heterogeneous network with distance dependent connectivity
- Generation of Synthetic Spatially Embedded Power Grid Networks
- A transition from river networks to scale-free networks
- Spatial Strength Centrality and the Effect of Spatial Embeddings on Network Architecture
- A study of cascading failures in real and synthetic power grid topologies using DC power flows
- Solvable Metric Growing Networks
- Adaptive Fractal-like Network Structure for Efficient Search of Inhomogeneously Distributed Targets at Unknown Positions
- Network Evolution by Relevance and Importance Preferential Attachment
- Simple Derivation of the Lifetime and the Distribution of Faces for a Binary Subdivision Model