Report summary

For Princeton University Department of Computer Science in 2015-2026, the graph shows 56 visible PIs and 43 internal PI collaborations. The main research signal is Computer Science as the leading field (41% of slots across 41 PIs; 41 labels), Artificial Intelligence as the leading subfield (17% of slots across 22 PIs; 22 labels), and Complexity and Algorithms in Graphs as the leading topic (4% of slots across 7 PIs; 7 labels). The network looks reasonably well-rounded, with visible collaboration groups but not so much concentration that one field explains the whole department. The most prominent PIs by weighted works are Mark Braverman (47 weighted works; Computability, Logic, AI Algorithms, Complexity and Algorithms in Graphs). The clearest collaboration lines are Arvind Narayanan and Arunesh Mathur (7 shared works, weight 4.8); Jennifer Rexford and Xiaoqi Chen (7 shared works, weight 4.8). The strongest breakdown groups are group 1 with 10 PIs, 11 internal connections, weight 11.9, around Molecular Biology, Artificial Intelligence, Cancer Research, led by Olga G. Troyanskaya, Benjamin J. Raphael, Sanjeev Arora.