Report summary

For Stanford University Department of Computer Science in 2015-2017, the graph shows 40 visible PIs and 23 internal PI collaborations. The dominant subject mix is Computer Science as the leading field (36% of slots across 24 PIs; 24 labels), Artificial Intelligence as the leading subfield (15% of slots across 14 PIs; 14 labels), and Complexity and Algorithms in Graphs as the leading topic (5% of slots across 6 PIs; 6 labels). The network looks reasonably well-rounded, with visible collaboration groups but not so much concentration that one field explains the whole department. The top weighted PIs are Tim Roughgarden (27.9 weighted works; Complexity and Algorithms in Graphs, Auction Theory and Applications). The most visible ties are Tim Roughgarden and Inbal Talgam-Cohen (5 shared works, weight 4.1). The standout breakdown groups are group 1 with 7 PIs, 6 internal connections, weight 9.1, around Statistical and Nonlinear Physics, Artificial Intelligence, Computer Networks and Communications, led by Jure Leskovec, Subhasish Mitra, Christopher Ré; group 2 with 7 PIs, 7 internal connections, weight 4.5, around Molecular Biology, Genetics, Cancer Research, led by Gill Bejerano, Stephen B. Montgomery, Anshul Kundaje.