A random graph model for massive graphs
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Summary
A random graph model is proposed which is a special case of sparse random graphs with given degree sequences which involves only a small number of parameters, called logsize and log-log growth rate, which capture some universal characteristics of massive graphs.
- Type
- article
- Published
- 2000-05-01
- Cited by
- 1,013
- References
- 25
- Access
- Open access
- OpenAlex
- https://openalex.org/W2097147952
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:2993917
Keywords
Citation, Computer science, Graph, Random graph, World Wide Web
References
- A Functional Approach to External Graph Algorithms
- On power-law relationships of the Internet topology
- On the evolution of random graphs
- A personal communication
- The asymptotic connectivity of labelled regular graphs
- A Critical Point for Random Graphs with a Given Degree Sequence
- The Probabilistic Method
- Scale-free characteristics of random networks: the topology of the world-wide web
- The Size of the Giant Component of a Random Graph with a Given Degree Sequence
- Extracting Large-Scale Knowledge Bases from the Web
- Trawling the Web for Emerging Cyber-Communities
- Internet: Diameter of the World-Wide Web
- On the Evolution of Random Graphs
- The Web as a Graph: Measurements, Models, and Methods
- Emergence of Scaling in Random Networks
- Emergence of Scaling in Random Networks
- ON THE STRENGTH OF CONNECTEDNESS OF A RANDOM GRAPH
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- Случайные графы, модели и генераторы безмасштабных графов
- Etude de la robustesse des graphes sociaux émergents. (Study of the robustness of emerging social graphs)
- Power Laws in Object Oriented Systems Architectures
- Culture and generalized inattentional blindness
- Epidemic Spreading in Technological Networks
- Institutional paraconsciousness and its pathologies
- Tools for large graph mining
- Power-laws and spectral analysis of the Internet topology
- A Random-Surfer Web-Graph Model
- Entering the blackboard jungle: canonical dysfunction in conscious machines
- Markov Model of Biological Networks
- Social Network Structures and Their Impact on Multi-Agent System Dynamics
- Biologically inspired distributed machine cognition: a new formal approach to hyperparallel computation
- Context-addressed communication dispatch
- Traffic Analysis of a Mobile Communication System Based on a Scale-Free User Network
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