4 papers
SBM With Multiple Samples: Improved Spectral Recovery
Sie Hendrata Dharmawan, Peter Chin
We study community detection in the two-block stochastic block model under the setting where multiple independent graph samples drawn from the same distribution are available. Buil…
Sphere of Influence Centrality via Shapley Values: Empirical Approximation and Network Coverage Analysis
Sie Hendrata Dharmawan, Kevin Limanta, Brendan Liu +1
Node centrality is a fundamental problem in network analysis, yet classical metrics fail to capture the collective, coalitional nature of influence. We present a systematic empiric…
Simplify to Amplify: Achieving Information-Theoretic Bounds with Fewer Steps in Spectral Community Detection
Sie Hendrata Dharmawan, Peter Chin
We propose a streamlined spectral algorithm for community detection in the two-community stochastic block model (SBM) under constant edge density assumptions. By reducing algorithm…
PoolFlip: A Multi-Agent Reinforcement Learning Security Environment for Cyber Defense
Xavier Cadet, Simona Boboila, Sie Hendrata Dharmawan +2
Cyber defense requires automating defensive decision-making under stealthy, deceptive, and continuously evolving adversarial strategies. The FlipIt game provides a foundational fra…