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Research map / Learning theory and algorithms / Submodular and game algorithms

Hiding in Multilayer Networks

AAAI 2020 · Learning theory and algorithms › Submodular and game algorithms · approach: Matching markets and welfare · 7 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use centrality measures based on the entire multilayer topology instead of evaluating each layer separatelyStrategic hiding in multilayer networks · Multilayer networksrobustness to strategic manipulationHelped
Use degree centrality for global hiding rather than closeness or betweenness centralityMultilayer Global Hiding · Multilayer networkscomputational complexity: P vs NP-completeHelped
Use the greedy algorithm for degree-based local hidingMaximum Multilayer Local Hiding · Multilayer networksapproximation ratio: 2-approximationHelped

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