Lecture 1 - Course Logistics and Introduction to Social Networks

Class Note

Lecture 2 - Overview of Network Theory

Class Note | Reading Summary | Slides | What is SNA slides | Lab

Lecture 3 - Network Data; Introduction to Graph Theory

Class Note | Glossary | Net Orgs |Reading Summary | Slides | Data | Lab

Lecture 4 -  Data Collection & Social Cognition

Class Note | Readings Summary | Slides | DataCollection

Lecture 5 -  Centrality and Centralization

Class Note | Readings Summary | Slides | Centrality | Data

Lecture 6 - Cohesive Subgroups and Core-Periphery Structures

Class Note | Readings Summary | Slides | Slides

Lecture 7 - Picturing Networks

Class Note | Readings Summary | Slides

Lecture 8 - Analyzing and Representing "Two-Mode" Network Data

Class Note | Readings Summary | Slides | Lab

Lecture 9 - Blockmodels/Positional Analysis - Fundamentals

Class Note | Readings Summary | Slides | Lab

Lecture 10 - Blockmodels/Positional Analysis - Implementation and Applications

Class Note | Readings Summary | Slides | Lab

Lecture 11 - Networks, Social Capital, Autonomy, and Achievement

Class Note | Readings Summary | Slides | Lab

Lecture 12 - Statistical Approaches to Networks: p1 and p*

Class Note | Readings Summary | Slides | Lab

Lecture 13 - Models for Studying Network Effects and Diffusion and Course Wrap-up

Class Note | Readings Summary | Slides | Wrap up