Degree correlation in scale-free graphs
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Summary
Close form expressions are obtained for the expected conditional degree distribution and the joint degree distribution of the linear preferential attachment model for network growth in the steady state for multiple-destination preferential attachment growth model, where incoming nodes at each timestep attach to existing nodes, selected by degree-proportional probabilities.
- Type
- article
- Published
- 2013-08-23
- Cited by
- 50
- References
- 74
- Access
- Open access
- OpenAlex
- https://openalex.org/W2013497788
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:7520124
Keywords
Degree (music), Preferential attachment, Degree distribution, Mathematics, Scale-free network
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- Mathematics of Epidemics on Networks: From Exact to Approximate Models
- How to Cooperate Locally to Improve Global Privacy in Social Networks? On Amplification of Privacy Preserving Data Aggregation
- Secure, efficient and privacy-aware framework for unstructured peer-to-peer networks
- General formulation of long-range degree correlations in complex networks.
- Probing the network structure of health deficits in human aging
- Temporal evolution of the degree distribution of alters in growing networks
- The Bass diffusion model on finite Barabasi-Albert networks
- The configuration model for Barabasi-Albert networks
- Invasion of Cooperation in Scale-Free Networks: Accumulated vs. Average Payoffs
- Complexity in Forecasting and Predictive Models
- A Computational Simulation Model for Predicting Infectious Disease Spread using the Evolving Contact Network Algorithm
- Stronger trust and privacy in social networks via local cooperation1
- Convergence towards an Erdős-Rényi graph structure in network contraction processes.
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