Mathematical and Algorithmic Analysis of Network and Biological Data
arXiv:1407.0375
Abstract
This dissertation contributes to mathematical and algorithmic problems that arise in the analysis of network and biological data.
Doctorial thesis, 306 pages, Carnegie Mellon University 2013
References in corpus (8)
- Modularity and community structure in networks
- Kronecker Graphs: An Approach to Modeling Networks
- Scaling laws in the spatial structure of urban road networks
- Modularity-Maximizing Network Communities via Mathematical Programming
- GraphLab: A New Framework for Parallel Machine Learning
- Self-similar disk packings as model spatial scale-free networks
- The Degree Distribution of Random k-Trees
- Vision Paper: Towards an Understanding of the Limits of Map-Reduce Computation