Jennifer Jie Xu

Statistical and Nonlinear Physics · 2004–2014

A researcher in the Science corpus: 6 papers; trusts 30 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 37 citations into it; #5,293 of 10,127 by trust here, #4,137 by citations
• Artificial Intelligence — 16 citations into it; #33,069 of 35,345 by trust here, #22,463 by citations
• Information Systems — 16 citations into it; #7,933 of 8,771 by trust here, #5,501 by citations
• Molecular Biology — 14 citations into it
• Computer Networks and Communications — 9 citations into it
• Sociology and Political Science — 9 citations into it
• Geometry and Topology — 7 citations into it
• Management Science and Operations Research — 6 citations into it

Whom Jennifer Jie Xu trusts overall

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

1. Mark Newman
2. Linton C. Freeman
3. Réka Albert
4. Stanley Wasserman
5. Duncan J. Watts
6. Jon M. Kleinberg
7. Albert-László Barabási
8. Michelle Girvan
9. Katherine Faust
10. Martin Bichler

Who trusts Jennifer Jie Xu overall

1. Michael Chau
2. Tomas Pranckevičius
3. Cynthia Rudin
4. Qiaoyu Tan
5. Njagi Dennis Gitari
6. Ephraim Nissan
7. Víctor Martínez

Papers from Jennifer Jie Xu's perspective

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

1. Statistical mechanics of complex networks
2. A simple model of global cascades on random networks (Proceedings of the National Academy of Sciences of the United States of America)
3. Graph structure in the Web (Comput. Networks)
4. Social Network Analysis: Methods and Applications
5. Community structure in social and biological networks (Proceedings of the National Academy of Sciences of the United States of America)
6. Error and attack tolerance of complex networks
7. Epidemic spreading in scale-free networks. (Physical Review Letters)
8. Collective dynamics of ‘small-world’ networks
9. Lethality and centrality in protein networks
10. The structure of scientific collaboration networks.

Their papers

• Business Intelligence in Blogs: Understanding Consumer Interactions and Communities (2012) — 368 citations
• Knowledge Discovery and Data Mining (2014) — 402 citations
• The topology of dark networks (2008) — 309 citations
• Mining communities and their relationships in blogs: A study of online hate groups (2007) — 349 citations
• Criminal network analysis and visualization (2005) — 312 citations
• Crime data mining: a general framework and some examples (2004) — 604 citations