An Introduction To Network Analysis and Visualization with Gephi

Course Overview

This workshop introduced participants to graph theory and social network theory, including a basic mathematical understanding of graph properties such as degree, paths, walks, trails, direction, connectivity, cycles and graph structure including directed, undirected, and hypergraphs. Participants were introduced to graph adjacency lists and matrices and centrality and eccentricity measures including degree, distance, diameter, closness centrality, betweeness centrality, eccentricity, eigenvector centrality, clustering coefficient, modularity, Pagerank algorithm, assortativity coefficient, and diachronic graphs. Participants learned to analyze and visualize custom datasets on Gephi.