Report summary

For University of Southern California Department of Computer Science in 2019-2026, the graph shows 69 visible PIs and 50 internal PI collaborations. The dominant subject mix is Computer Science as the leading field (44% of slots across 54 PIs; 54 labels), Artificial Intelligence as the leading subfield (19% of slots across 31 PIs; 31 labels), and Topic Modeling as the leading topic (4% of slots across 8 PIs; 8 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 Emilio Ferrara (31.6 weighted works; Misinformation and Its Impacts, Ethics and Social Impacts of AI); Michael Zyda (28.3 weighted works; Digital Games and Media, Educational Games and Gamification). The most visible ties are Jonathan Gratch and Gale Lucas (16 shared works, weight 8.3). The standout breakdown groups are group 1 with 10 PIs, 11 internal connections, weight 33, around Artificial Intelligence, Sociology and Political Science, Experimental and Cognitive Psychology, led by Emilio Ferrara, Michael Zyda, Shrikanth Narayanan; group 2 with 9 PIs, 9 internal connections, weight 28.5, around Artificial Intelligence, Social Psychology, Computer Networks and Communications, led by Bhaskar Krishnamachari, Nathaniel Dennler, Maja J. Matarić.