Social Network Analysis

Course for PhD students – University of Milan (Italy) – with Raffaele Vacca

Syllabus

Lectures:

Currently teaching this course – Material will be uploaded by the end of the course

Here are some of the presentation slides of my part of the course:

1: Introduction

2: Social relationships, relational data

3: Research design

4: Full-network design and network measurement

5: Data structure

6: Centrality

7: Ego-network analysis

8: Statistical models of social network data

9: Agent-based models of social networks

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