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For Duke University Department of Biostatistics and Bioinformatics in 2021-2023, the graph shows 51 visible PIs and 48 internal PI collaborations. The dominant subject mix is Medicine as the leading field (28% of slots across 27 PIs; 27 labels), Statistics and Probability as the leading subfield (12% of slots across 14 PIs; 14 labels), and Statistical Methods in Clinical Trials as the leading topic (6% of slots across 9 PIs; 9 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 Felipe A. Medeiros (21 weighted works; Glaucoma and retinal disorders, Retinal Diseases and Treatments). The most visible ties are Matthew L. Maciejewski and Virginia Wang (13 shared works, weight 7.6); Qingyi Wei and Sheng Luo (15 shared works, weight 6.5). The standout breakdown groups are group 1 with 9 PIs, 9 internal connections, weight 4.2, around Molecular Biology, Statistics and Probability, Neurology, led by Sin‐Ho Jung, Anru R. Zhang, Zhicheng Ji.