Ralucca Gera - MA4027 Graph Theory and Applications - Ralucca Gera, Professor of Mathematics

MA4044 Heading

MA 4044: Structure and Analysis of Complex Networks

Information for the main components: Syllabus, Multilayer Network activity, Network Profile Summary Data and Team Research Project.
Online free textbooks: Barabasi's textbook, Newman's SIAM article (extended to a book), Estrada's article (extended to Estra's textbook), Easley and Kleinberg's book, and The Atlas for the Aspiring Network Scientist book
Resources for tools support for network analysis: Python, Gephi, R and Matlab

Below is a list of resources useful for analyzing networks.

Python
- NetworkX,
- A tutorial for NetworkX
- igraph for Python
- Python code used in MA4404
- Visualizing Adjacency matrix in Python (communities)
- Exploring network structure, dynamics, and function using NetworkX
- Temporal:https://github.com/IngoScholtes/pyTempNets
  http://notebook.madsenlab.org/project:coarse%20grained%20model/model:seriationct/experiment:experiment-seriationct/2014/07/28/implementing-temporal-networks-in-python.html
R
- igraph for R
- Tutorial
- R&Gephi tutorials
Matlab
- MatlabBGL
- plotting
- graph theory
- creating interactive visualizations
Gephi
- tutorial for Gephi
Pajek - analysis and visualization for large networks
NetworKit
Online Repository of Python codes for networks: PyCX
Code Sharing: DataScience, SageMathCloud, and Repl

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Classes Taught

MA 1025 (Mathematical Reasoning)
MA 1113 (Differential Calculus)
MA 1114 (Integral Calculus)
MA 1115 (Multivariate Calculus)
MA 2025 (Logic and Discrete I)
MA 3025 (Logic and Discrete II)
MA 3042 (Linear Algebra)
MA 4027 (Graph Theory)
MA 4394 (Topics in Network Science)
MA 4404 (Complex Networks)
Short Courses in Network Science

Research Tools

Web Content Display (Global)