Zhao Yang
Statistical and Nonlinear Physics · with Algesheimer · 2016
A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 22 citations into it; #7,570 of 10,127 by trust here, #7,747 by citations
- Molecular Biology — 7 citations into it; #12,058 of 17,773 by trust here, #15,850 by citations
- Artificial Intelligence — 6 citations into it; #27,598 of 35,345 by trust here, #29,412 by citations
Whom Zhao Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mark Newman
- Santo Fortunato
- Andrea Lancichinetti
- Michelle Girvan
- Martin Rosvall
- Aaron Clauset
- Usha Nandini Raghavan
- Réka Albert
- Carl T. Bergstrom
- Marc Barthelemy
Who trusts Zhao Yang overall
Papers from Zhao Yang's perspective
Ordered by how strongly the researchers Zhao Yang trusts endorse each paper. Same corpus, a different order for every researcher.
- The Structure and Function of Complex Networks
- 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)
- Uncovering the overlapping community structure of complex networks in nature and society (Nature)
- Finding community structure in very large networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
- Social Network Analysis: Methods and Applications
- Near linear time algorithm to detect community structures in large-scale networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
- Community detection algorithms: a comparative analysis: invited presentation, extended abstract (ValueTools)
- Graph structure in the Web (Comput. Networks)
- Community detection in graphs
Their papers
- A Comparative Analysis of Community Detection Algorithms on Artificial Networks (2016) — 793 citations