Social Network Analysis

Graduate course – University of Milan (Italy)

Syllabus

Lectures:

1: Introduction

2: Social relationships, relational data, and research designs

3: Survey design

4: Centrality

5: Network processes, local dependency, random graphs

6: Exponential Random Graph Models

7: Agent-based models of social networks (by Francesco Renzini)

R notebook

Introduction to Research

Course for Ph.D. students - Department of Economics and Management - University of Brescia (Italy) - 2017-18 & 2018-19

Syllabus

Reading list

Lectures:

1: Scientific explanations

2: Statistical associations, causal mechanisms, modelling

3: Theory, models, observation

4: Experiments, comparison… and some practical issues