Rob Claxton

Statistical and Nonlinear Physics · 2010–2012

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rob Claxton trusts

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

  1. Mark Newman (in Statistical and Nonlinear Physics)
  2. Santo Fortunato (in Statistical and Nonlinear Physics)
  3. David M. Blei (in Artificial Intelligence)

Papers from Rob Claxton's perspective

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

  1. Social Network Analysis: Methods and Applications
  2. Structure and tie strengths in mobile communication networks (Proceedings of the National Academy of Sciences of the United States of America)
  3. Community detection in graphs
  4. Size reduction of complex networks preserving modularity (arXiv.org)
  5. Modularity from fluctuations in random graphs and complex networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
  6. Finding communities in linear time: a physics approach
  7. Geographic routing in social networks (Proc. Natl. Acad. Sci. USA)
  8. Extracting the hierarchical organization of complex systems (Proceedings of the National Academy of Sciences of the United States of America)
  9. Modularity and community structure in networks.
  10. Geographical dispersal of mobile communication networks

Their papers