Won-min Song

Molecular Biology · with Zhang · 2015

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Won-min Song trusts overall

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

  1. Ulrike von Luxburg
  2. Linyuan Lu
  3. Réka Albert
  4. Martin Rosvall
  5. Mark Newman
  6. Bin Zhang
  7. Gábor Csárdi
  8. Albert-László Barabási
  9. Santo Fortunato
  10. Michele Tumminello

Papers from Won-min Song's perspective

Ordered by how strongly the researchers Won-min Song trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Statistical mechanics of complex networks
  2. The large-scale organization of metabolic networks (Nature)
  3. Community detection in graphs
  4. Social Network Analysis: Methods and Applications
  5. A tutorial on spectral clustering
  6. Collective dynamics of ‘small-world’ networks
  7. The Structure and Function of Complex Networks
  8. A General Framework for Weighted Gene Co-Expression Network Analysis (Statistical Applications in Genetics and Molecular Biology)
  9. Similarity index based on local paths for link prediction of complex networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
  10. Resolution limit in community detection (Proceedings of the National Academy of Sciences of the United States of America)

Their papers