This engaging book represents these interdependencies' positive and negative consequences, their multiple effects and the ways in which a local occurrence in one part of the world can directly affect the rest. Then it demonstrates precisely how these interactions and relationships form.
This is a book for the social network novice on learning how to study, think about and analyse social networks; the intermediate user, not yet familiar with some of the newer developments in the field; and the teacher looking for a range of exercises, as well as an up-to-date historical account of the field.
It is divided into three sections:
1. Historical & Background Concepts
2. Levels of Analysis
3. Advances, Extensions and Conclusions
The book provides a full overview of the field - historical origins, common theoretical perspectives and frameworks; traditional and current analytical procedures and fundamental mathematical equations needed to get a foothold in the field.
|Introduction: What Are Social Networks?|
|Appendix 1: Getting Started with UCINET|
|Appendix 2: Exponential Random Graph Modelling and Longitudinal Modelling through Siena|
|Appendix 3: Calculating Probability for Transitivity Using Actor-Based Models|