Network Analysis Literacy

Part I. Introduction

1. A First Encounter
Katharina A. Zweig

2. Graph Theory, Social Network Analysis, and Network Science
Katharina A. Zweig

3. Definitions
Katharina A. Zweig

Part II. Methods

4. Classic Network Analytic Measures
Katharina A. Zweig

5. Network Representations of Complex Systems
Katharina A. Zweig

6. Random Graphs and Network Models
Katharina A. Zweig

7. Random Graphs as Null Models
Katharina A. Zweig

8. Understanding and Designing Network Measures
Katharina A. Zweig

9. Centrality Indices
Katharina A. Zweig

Part III. Literacy

10. Literacy: Data Quality, Entities, and Nodes
Katharina A. Zweig

11. Literacy: Relationships and Relations
Katharina A. Zweig

12. Literacy: When Is a Network Model Explanatory?
Katharina A. Zweig

13. Literacy: Choosing the Best Null Model
Katharina A. Zweig

14. Literacy Interpretation
Katharina A. Zweig

15. Ethics in Network Analysis
Katharina A. Zweig

Keywords: Computer Science, Computer Appl. in Social and Behavioral Sciences, Applications of Graph Theory and Complex Networks, Complexity, Data-driven Science, Modeling and Theory Building, Data Mining and Knowledge Discovery