Jiashun Jin

Statistical and Nonlinear Physics · 2012

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 12 citations into it; #3,195 of 10,127 by trust here, #8,120 by citations
• Statistics and Probability — 9 citations into it
• Artificial Intelligence — 6 citations into it; #13,909 of 35,345 by trust here, #30,347 by citations

Whom Jiashun Jin trusts overall

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

1. Eric R. Ziegel
2. Mark Newman
3. Trevor J. Hastie
4. Anna Goldenberg
5. Peter J. Bickel
6. Jerome H. Friedman
7. Lada A. Adamic
8. Brian Karrer
9. Konstantin Avrachenkov
10. Peter D. Hoff

Who trusts Jiashun Jin overall

1. Jing Lei
2. Alessandro Rinaldo
3. Emmanuel Abbe

Papers from Jiashun Jin's perspective

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

1. A nonparametric view of network models and Newman–Girvan and other modularities (Proceedings of the National Academy of Sciences of the United States of America)
2. Modularity and community structure in networks.
3. Finding community structure in networks using the eigenvectors of matrices. (Physical review. E, Statistical, nonlinear, and soft matter physics)
4. Regression Shrinkage and Selection via the Lasso
5. The Elements of Statistical Learning
6. Stochastic blockmodels and community structure in networks
7. Modeling homophily and stochastic equivalence in symmetric relational data (Neural Information Processing Systems)
8. Estimating the Dimension of a Model
9. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
10. The political blogosphere and the 2004 U.S. election: divided they blog (LinkKDD '05)

Their papers

• FAST COMMUNITY DETECTION BY SCORE (2012) — 329 citations