Structural Laws for Cascade Centrality
JCN trackCycles, graph covers, decomposition laws, and related structural results.
Peer-reviewed work across computer vision, social networks, programming languages, and competitive learning — 637+ citations on Google Scholar. Book-length work is collected separately under Books.
The Journal of Competitive Learning, 2(1) · 2026
The Journal of Competitive Learning, 2(1) · 2026
The Journal of Competitive Learning, 1(1) · 2025
Proceedings of the ACM on Programming Languages, 8 (OOPSLA1), 810–832 · 2024
ACM SIGMETRICS Performance Evaluation Review, 44(3), 7–14 · 2017
Institute for New Economic Thinking · 2016
International Journal of Computer Vision, 107(1), 20–39 · 2014
Trends and Topics in Computer Vision (Vol. 6553, pp. 57–69), Springer · 2012
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3336–3343 · 2010
Exact complexity, approximation, and a reproducible computation layer. Submission details are public; active review correspondence remains private.
Cycles, graph covers, decomposition laws, and related structural results.
When adding an edge can reduce a network objective, with explicit counterexamples and asymptotic analysis.
Proved bounds, exact family calculations, exhaustive small-order evidence, and three explicitly labeled open extremal principles.