Tanya Y. Berger-Wolf

Statistical and Nonlinear Physics · 2006–2021

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 17 citations into it; #3,571 of 10,127 by trust here, #4,281 by citations
• Information Systems — 6 citations into it; #4,634 of 8,771 by trust here, #5,078 by citations
• Computer Networks and Communications — 5 citations into it
• Sociology and Political Science — 5 citations into it; #16,612 of 22,756 by trust here, #18,468 by citations

Whom Tanya Y. Berger-Wolf trusts overall

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

1. Linton C. Freeman
2. Jon M. Kleinberg
3. Mark Newman
4. Mark S. Granovetter
5. Kathleen M. Carley
6. Réka Albert
7. Paul C. Cross
8. David Kempe
9. Jure Leskovec
10. Joshua R. Tyler

Who trusts Tanya Y. Berger-Wolf overall

1. Chayant Tantipathananandh
2. Michele Coscia
3. Punam Bedi
4. Ashwin Paranjape
5. Fosca Giannotti
6. Tianbao Yang
7. David Kempe
8. Stephen Ranshous

Papers from Tanya Y. Berger-Wolf's perspective

Ordered by how strongly the researchers Tanya Y. Berger-Wolf trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Structure and Function of Complex Networks
2. The Strength of Weak Ties
3. Statistical mechanics of complex networks
4. Community structure in social and biological networks (Proceedings of the National Academy of Sciences of the United States of America)
5. Information diffusion through blogspace
6. Graphs over time: densification laws, shrinking diameters and possible explanations
7. On the Bursty Evolution of Blogspace (The Web Conference)
8. Group formation in large social networks: membership, growth, and evolution (Knowledge Discovery and Data Mining)
9. Modelling disease outbreaks in realistic urban social networks (Nature)
10. Long Short-Term Memory

Their papers

• A framework for analysis of dynamic social networks (2006) — 298 citations
• Perspectives in machine learning for wildlife conservation (2021) — 659 citations
• A framework for community identification in dynamic social networks (2007) — 524 citations