Report summary

For Princeton University Department of Computer Science in 2015-2017, the graph shows 27 visible PIs and 6 internal PI collaborations. The main research signal is Computer Science as the leading field (44% of slots across 20 PIs; 20 labels), Artificial Intelligence as the leading subfield (19% of slots across 11 PIs; 11 labels), and Complexity and Algorithms in Graphs as the leading topic (6% of slots across 5 PIs; 5 labels). That looks relatively sparse, so claims about department-wide cohesion should be made carefully. The most prominent PIs by weighted works are Mark Braverman (21.5 weighted works; Computability, Logic, AI Algorithms, Complexity and Algorithms in Graphs). The clearest collaboration lines are Mark Braverman and Omri Weinstein (3 shared works, weight 3). The strongest breakdown groups are group 1 with 5 PIs, 5 internal connections, weight 2.9, around Artificial Intelligence, Molecular Biology, Organizational Behavior and Human Resource Management, led by Olga G. Troyanskaya, Andrej Risteski, Yingyu Liang.