Leto Peel

Statistical and Nonlinear Physics · 2016

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Leto Peel trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Tiago P. Peixoto
  2. Jaewon Yang
  3. Jure Leskovec
  4. Mark Newman
  5. Jon M. Kleinberg
  6. Alan M. Frieze
  7. Laurent Massoulié
  8. Santo Fortunato
  9. Roger Guimerà
  10. Aaron Clauset

Papers from Leto Peel's perspective

Ordered by how strongly the researchers Leto Peel trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Defining and evaluating network communities based on ground-truth
  2. Community-Affiliation Graph Model for Overlapping Network Community Detection (2012 IEEE 12th International Conference on Data Mining)
  3. An Impossibility Theorem for Clustering (Neural Information Processing Systems)
  4. Random graphs
  5. Empirical comparison of algorithms for network community detection (The Web Conference)
  6. Community detection thresholds and the weak Ramanujan property (Symposium on the Theory of Computing)
  7. Hierarchical block structures and high-resolution model selection in large networks (arXiv.org)
  8. Community structure in social and biological networks (Proceedings of the National Academy of Sciences of the United States of America)
  9. The Lack of A Priori Distinctions Between Learning Algorithms
  10. Information theoretic measures for clusterings comparison: is a correction for chance necessary? (International Conference on Machine Learning)

Their papers