Talal Rahwan

Statistical and Nonlinear Physics · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 11 citations into it
• Computer Networks and Communications — 8 citations into it

Whom Talal Rahwan trusts overall

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

1. Mark Newman
2. Mark S. Granovetter
3. K. Armstrong
4. Zoran Zivkovic
5. Julian McAuley

Papers from Talal Rahwan's perspective

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

1. Emergence of Scaling in Random Networks
2. The Strength of Weak Ties
3. Finding community structure in very large networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
4. Finding community structure in networks using the eigenvectors of matrices. (Physical review. E, Statistical, nonlinear, and soft matter physics)
5. Scikit-learn: Machine Learning in Python
6. Finding and evaluating community structure in networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
7. Maximizing the spread of influence through a social network
8. Centrality in social networks conceptual clarification
9. Statistical mechanics of community detection.
10. You are who you know: inferring user profiles in online social networks

Their papers

• Automatic HVAC Control with Real-time Occupancy Recognition and Simulation-guided Model Predictive Control in Low-cost Embedded System (2017) — 171 citations
• Hiding individuals and communities in a social network (2016) — 296 citations