Preface Introduction to Network Data and Analysis Part I Descriptive Network Analysis 1 Introduction 2 Basic Network Statistics 3 Centrality 4 Cohesive Subgroups 5 Two-Mode Networks 6 Signed Networks 7 Ego Networks 8 Entropy Analysis Part II Network Visualization 9 Introduction 10 Basics of ggraph 11 Advanced Layouts 12 Enhancing Visualizations 13 Interactive Visualization Part III Inferential Network Analysis 14 Introduction 15 Non-Parametric Methods 16 Random Graph Models 17 Exponential Random Graph Models (ERGMs) 18 Stochastic Actor Oriented Models (SAOMs) 19 Relational Event Models (REMs) Part IV Tidy Network Analysis 20 Introduction 21 Basics of tidygraph 22 Descriptive Network Analysis A Creating the UCNets Ego Network Dataset B A Continuous-Time Markov Chain (Cat Behavior Model) C Creating Relational Event Data for the Frozen Character Network References
Biography
Termeh Shafie is a Professor of Computational Social Science and Data Science whose work combines statistical methodology with interdisciplinary applications in computational social science and digital humanities. With more than two decades of experience, she develops methods and models for analyzing multivariate social networks and is also the creator and maintainer of R packages in the field. Her research brings together methodological innovation and empirical analysis to better understand social systems.
David Schoch is a Data Scientist and DevOps Engineer with extensive expertise in R and the developer and maintainer of more than 30 R packages. He is a major contributor to the R network-analysis ecosystem and a member of the igraph development team. His research has focused on developing new methods for network centrality and the analysis of signed networks.
