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- Learn About Assortativity Coefficient in Python with Data from UK Faculty Dataset (2008)
- Generative Models for Global Collaboration Relationships Ertugrul Necdet Ciftcioglu1, Ram Ramanathan2 & Prithwish Basu2
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- American Domestics Airline Analysis Linxiao Bai, Yuanzheng Du, Keting Lyu, University of Rochester Rochester, NY {Lbai2, Ydu20, Klyu}@Ur.Rochester.Edu
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- On Some Diffusion and Spanning Problems in Configuration Model Kumar Gaurav
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- Configuration Model and Beyond
- Hypergraph Clustering by Iteratively Reweighted Modularity Maximization
- Generating Simple Random Graphs with Prescribed Degree Distribution
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- The Role of Homophily in the Emergence of Opinion Controversies
- 3.2 Configuration Model
- Percolation and Random Graphs
- Dynamic Networks That Drive the Process of Irreversible Step-Growth Polymerization
- Generalised Hypergeometric Ensembles of Random Graphs: the Configuration Model As an Urn Problem
- Analysis of Different Random Graph Models in the Identification of Network Motifs in Complex Networks
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- On Community Structure in Complex Networks: Challenges and Opportunities Hocine Cherifi, Gergely Palla, Boleslaw Szymanski, Xiaoyan Lu
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- Network Analysis and Optimization of Animal Transports
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- Random Graph Models with Clustering That Reflects That of Real Word Network
- Percolation and Random Graphs
- Clustering Scientific Collaboration Networks
- Growing Attributed Networks Through Local Processes
- DFS Supercritical Configuration Model
- Connected Balanced Subgraphs in Random Regular Multigraphs Under the Configuration Model∗
- A Novel Configuration Model for Random Graphs with Given
- Hypergraph Clustering: a Modularity Maximization Approach
- Limits of Sparse Configuration Models and Beyond: Graphexes and Multi-Graphexes
- Sparse Maximum-Entropy Random Graphs with a Given Power-Law Degree Distribution
- The Probability That a Random Multigraph Is Simple
- Nearly-Regular Hypergraphs and Saturation of Berge Stars
- Homophily As a Process Generating Social Net- Works: Insights from Social Distance Attach- Ment Model Szymon Talaga1 and Andrzej Nowak1,2