mlsanityData to 7 Oct 2026

Ricci Curvature of the Internet Topology

arXiv 1501.04138 ↗First posted 17 Jan 2015cs.SI cs.CG cs.NIcited by 22

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Abstract (arXiv)

Analysis of Internet topologies has shown that the Internet topology has negative curvature, measured by Gromov's "thin triangle condition", which is tightly related to core congestion and route reliability. In this work we analyze the discrete Ricci curvature of the Internet, defined by Ollivier, Lin, etc. Ricci curvature measures whether local distances diverge or converge. It is a more local measure which allows us to understand the distribution of curvatures in the network. We show by various Internet data sets that the distribution of Ricci cuvature is spread out, suggesting the network topology to be non-homogenous. We also show that the Ricci curvature has interesting connections to both local measures such as node degree and clustering coefficient, global measures such as betweenness centrality and network connectivity, as well as auxilary attributes such as geographical distances. These observations add to the richness of geometric structures in complex network theory.

Key facts. Cited by 22 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 Jan 2015.

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Citing papers per year: 2021: 2; 2022: 5; 2023: 2; 2024: 5; 2025: 4; 2026: 4.

22 papers.

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  1. 2022Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvaturecited by 96
  2. 2022Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashingcited by 31
  3. 2021Curvature Graph Neural Networkcited by 24
  4. 2022kHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learningcited by 14
  5. 2022Curvature Graph Generative Adversarial Networkscited by 9
  6. 2025Depth-Adaptive Graph Neural Networks via Learnable Bakry-'Emery Curvaturecited by 8
  7. 2021Augmenting the User-Item Graph with Textual Similarity Modelscited by 3
  8. 2025Knowledge Graph Completion with Mixed Geometry Tensor Factorizationcited by 3
  9. 2026The Post-GCN Decade Revisited: Curvature-Stratified Evaluation of Relational Learningcited by 3
  10. 2024Accelerated Evaluation of Ollivier-Ricci Curvature Lower Bounds: Bridging Theory and Computationcited by 2
  11. 2024Analyzing Neural Network Robustness Using Graph Curvaturecited by 2
  12. 2022Alleviating neighbor bias: augmenting graph self-supervise learning with structural equivalent positive samplescited by 1
10 more
  1. 2024Hypergraph clustering using Ricci curvature: an edge transport perspectivecited by 1
  2. 2025RicciFlowRec: A Geometric Root Cause Recommender Using Ricci Curvature on Financial Graphscited by 1
  3. 2023Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Predictioncited by 0
  4. 2023CTAGE: Curvature-Based Topology-Aware Graph Embedding for Learning Molecular Representationscited by 0
  5. 2024Ironing the Graphs: Toward a Correct Geometric Analysis of Large-Scale Graphscited by 0
  6. 2024Characterizing Physician Referral Networks with Ricci Curvaturecited by 0
  7. 2025Lower Ricci Curvature for Hypergraphscited by 0
  8. 2026Ontology Neural Networks for Topologically Conditioned Constraint Satisfactioncited by 0
  9. 2026Post-Training Neural Network Pruning using Graph Curvaturecited by 0
  10. 2026Sobolev--Ricci Curvaturecited by 0