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 (24)
- Emergence of scaling in random networks
- Statistical mechanics of complex networks
- The structure and function of complex networks
- Community structure in social and biological networks
- Finding and evaluating community structure in networks
- Modularity and community structure in networks
- Community detection in graphs
- Kronecker Graphs: An Approach to Modeling Networks
- An O(m) Algorithm for Cores Decomposition of Networks
- Scaling laws in the spatial structure of urban road networks
- Structural Properties of Planar Graphs of Urban Street Patterns
- Curvature of Co-Links Uncovers Hidden Thematic Layers in the World Wide Web
- Modularity-Maximizing Network Communities via Mathematical Programming
- A Topological Pattern of Urban Street Networks: Universality and Peculiarity
- Maximal planar networks with large clustering coefficient and power-law degree distribution
- GraphLab: A New Framework for Parallel Machine Learning
- Tolerating the Community Detection Resolution Limit with Edge Weighting
- Self-similar disk packings as model spatial scale-free networks
- Using Curvature and Markov Clustering in Graphs for Lexical Acquisition and Word Sense Discrimination
- Subgraph Frequencies: Mapping the Empirical and Extremal Geography of Large Graph Collections
- The Degree Distribution of Random k-Trees
- Sum of squares of degrees in a graph
- Vision Paper: Towards an Understanding of the Limits of Map-Reduce Computation
- Comment on "Maximal planar networks with large clustering coefficient and power-law degree distribution"