Network Analysis

This course will enable you to analyze the structure of a network, characterize the individual positions of members, and examine the nature of links through the presentation of key indicators. Applications to economic networks (banking, production, business networks, etc.) will be discussed, as well as the integration of these indicators into economic/econometric analysis.

Registration dates 20 November 2024 03 December 2024
Course dates 13 January 2025 11 April 2025
Registration is now closed
Network Analysis

Learning outcomes

  • Identify the key actors in a network and the main links
  • Describe the structure of a complex network system
  • Calculate individual position indicators within a network
  • Compute and interpret network topology indicators
  • Incorporate these statistics into economic or econometric analysis

 

Course content

Chapter 1: Introduction
Chapter 2: Node Connectivity
Chapter 3: Links and Paths
Chapter 4: Network Topology
Chapter 5: Community Detection
Chapter 6: Random Networks
Chapter 7: Network Econometrics

More information

Prerequisites

Familiarity with basic concepts in statistics and algebra at the undergraduate level (L1/L2), including descriptive statistics, statistical tests, and matrix calculations.

 

 

 

 

Please check with your home university for credit recognition.