Pan Zhang
Statistical and Nonlinear Physics · with Moore · 2013–2014
A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 34 citations into it; #3,332 of 10,127 by trust here, #3,100 by citations
- Molecular Biology — 12 citations into it
- Statistics and Probability — 10 citations into it
- Artificial Intelligence — 9 citations into it; #33,735 of 35,347 by trust here, #18,190 by citations
- Geometry and Topology — 7 citations into it
- Mathematical Physics — 7 citations into it
Whom Pan Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mark Newman
- Florent Krzakala
- Cristopher Moore
- Santo Fortunato
- Aaron Clauset
- Jonathan Tennyson
- Emanuel Parzen
- Andrea Lancichinetti
- M. M'ezard
- Aurelien Decelle
Who trusts Pan Zhang overall
Papers from Pan Zhang's perspective
Ordered by how strongly the researchers Pan Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Community structure in social and biological networks (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)
- The bottlenose dolphin community of Doubtful Sound features a large proportion of long-lasting associations (Behavioral Ecology and Sociobiology)
- Finding community structure in very large networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
- Electron – molecule collision calculations using the R-matrix method
- Modern Coding Theory
- Asymptotic analysis of the stochastic block model for modular networks and its algorithmic applications (Physical review. E, Statistical, nonlinear, and soft matter physics)
- The phase transition in inhomogeneous random graphs (Random Struct. Algorithms)
- Scalable Inference of Overlapping Communities
- Non-backtracking random walks mix faster
Their papers
- Scalable detection of statistically significant communities and hierarchies, using message passing for modularity (2014) — 183 citations
- Spectral redemption in clustering sparse networks (2013) — 660 citations