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Xiaoyan Lu
Researcher at Rensselaer Polytechnic Institute
Publications - 20
Citations - 345
Xiaoyan Lu is an academic researcher from Rensselaer Polytechnic Institute. The author has contributed to research in topics: Modularity (networks) & Complex network. The author has an hindex of 8, co-authored 20 publications receiving 235 citations. Previous affiliations of Xiaoyan Lu include University of Connecticut.
Papers
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Journal ArticleDOI
On community structure in complex networks: challenges and opportunities
TL;DR: This work focuses on generative models of communities in complex networks and their role in developing strong foundation for community detection algorithms, and introduces deterministic strategies that have proven to be very efficient in controlling the epidemic outbreaks, but require complete knowledge of the network.
Journal ArticleDOI
Fast and accurate detection of spread source in large complex networks.
Robert Paluch,Xiaoyan Lu,Krzysztof Suchecki,Boleslaw K. Szymanski,Boleslaw K. Szymanski,Janusz A. Hołyst,Janusz A. Hołyst +6 more
TL;DR: The Gradient Maximum Likelihood Algorithm (GMLA) is proposed in which observers with low quality information are ignored and potential sources are selected based on the likelihood gradient from high quality observers.
Journal ArticleDOI
Adaptive modularity maximization via edge weighting scheme
TL;DR: Experimental results on real and synthetic networks show that the state-of-the-art community detection algorithms improve their performance significantly by finding communities in the weighted graphs produced by the model.
Journal ArticleDOI
On community structure in complex networks: challenges and opportunities
TL;DR: In this paper, the authors discuss modularity and the use of modularity maximization as the basis for community detection, and introduce deterministic strategies that have proven to be very efficient in controlling the epidemic outbreaks, but require complete knowledge of the network.
Proceedings ArticleDOI
Aqua-Net Mate: A real-time virtual channel/modem simulator for Aqua-Net
TL;DR: Aqua-Net Mate is introduced, a real-time virtual channel/modem simulator specifically designed for Aqua-Net, a well-developed UAN networking framework, that can effectively evaluate field test results and the state machine design can accurately capture the behaviors of real modems.