Tim S. Evans
Statistical and Nonlinear Physics · 2009–2010
A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 47 citations into it; #1,127 of 10,127 by trust here, #2,780 by citations
- Molecular Biology — 24 citations into it
Whom Tim S. Evans trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mark Newman
- Roger Guimerà
- Santo Fortunato
- Michelle Girvan
- Marc Barthelemy
- Jukka-Pekka Onnela
- Marta Sales-Pardo
- Luís A. Nunes Amaral
- Duncan J. Watts
- M. A. Porter
Who trusts Tim S. Evans overall
- Olaf Sporns
- M. A. Porter
- Santo Fortunato
- Renaud Lambiotte
- Michele Coscia
- David Meunier
- Naoki Masuda
- Lei Tang
- Brian Ball
- Richard F. Betzel
Papers from Tim S. Evans's perspective
Ordered by how strongly the researchers Tim S. Evans trusts endorse each paper. Same corpus, a different order for every researcher.
- Classes of small-world networks. (Proceedings of the National Academy of Sciences of the United States of America)
- Extracting the hierarchical organization of complex systems (Proceedings of the National Academy of Sciences of the United States of America)
- Finding community structure in networks using the eigenvectors of matrices. (Physical review. E, Statistical, nonlinear, and soft matter physics)
- Modularity and community structure in networks.
- Modularity from fluctuations in random graphs and complex networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
- Finding and evaluating community structure in networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
- Community detection in graphs
- Functional cartography of complex metabolic networks (Nature)
- Module identification in bipartite and directed networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
- The Structure and Function of Complex Networks
Their papers
- Uncovering space-independent communities in spatial networks (2010) — 346 citations
- Line graphs, link partitions, and overlapping communities. (2009) — 606 citations