Social Network Analysis using Stata

Date of Appearance: 
Mar 9, 2017
Duration of the course: 
Jun 14, 2017 to Jun 16, 2017
Application Deadline: 
May 31, 2017

Social Network Analysis using Stata

Date of Appearance: 
Mar 9, 2017
Duration of the course: 
Jun 14, 2017 to Jun 16, 2017
Application Deadline: 
May 31, 2017
TStat Training
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Course Details

Professional Training
Credits or certification after course completion: 
Certificate of participation will be issued at the end of the course
Study Options: 
Full-Time

Course Fees

Regular Fee: 
€1 823,00
International Student Fee: 
€896,00
Comment: 
Course fees depend on the participant's current status: Students*: €896.00 Academic: €1494.00 Government /Nonprofit: €1658.00 Commercial: €1823.00 *To be eligible for student prices, participants must provide proof of their full-time student status for the current academic year. All fees are subject to VAT (applied at the current Italian rateof 22%). Course fees cover: i) teaching materials (copies of lecture slides, databases and Stata routines used during the workshop); ii) a temporary licence of Stata valid for 30 days from the beginning of the workshop; iii) half board accommodation (breakfast, lunch and coffee breaks) in a single room at the Centro Studi CISL from Tuesday 13th to Friday 16th June 2017 (3 nights).

Location of Course

Location: 
CISL Studium Centre
Via della Piazzuola, 7
50133 Florence FI
Italy

The field of Social Network Analysis is one of the most rapidly growing fields of the social sciences. Social network analysis focuses on the relationships that exist between individuals (or other units of analysis) such as friendship, advice, trust, or trade relationships. As such, network analysis is concerned with the visualization and analysis of network structures, as well as with the importance of networks for individuals’ propensities to adopt different kinds of behaviors. Up until now, researchers wishing to implement this type of analysis have been force to use specialized software for network analysis. A new set of user written commands (developed by Thomas Grund, coauthor of the forthcoming Stata Press title “An Introduction to Social Network Analysis and Agent-Based Modeling Using Stata”) are however, now available for Stata. This workshop introduces the so-called nwcommands suite of over 90 Stata commands for social network analysis. The suite includes commands for importing, exporting, loading, saving, handling, manipulating, replacing, generating, visualizing, and animating networks. It also includes commands for measuring various properties of the networks and the individual nodes, for detecting network patterns and measuring the similarity of different networks, as well as advanced statistical techniques for network analysis including MR-QAP and ERGM.

In common with TStat’s workshop philosophy, each individual session, is composed of both a theoretical component (in which the techniques and underlying principles behind them are explained), and an applied (hands-on) segment, during which participants have the opportunity to implement the techniques using real data under the watchful eye of the course tutor. Throughout the workshop, theoretical sessions are reinforced by case study examples, in which the course tutor discusses current research issues, highlighting potential pitfalls and the advantages of individual techniques. The intuition behind the choice and implementation of a specifi c technique is of the utmost importance. In this manner, course leaders are able to bridge the “often diffi cult” gap between abstract theoretical methodologies, and the practical issues one encounters when dealing with real data. At the end of the course, participants are expected to be able to autonomously implement the theories and methodologies discussed during the workshop.

Prerequisites:

  • Participants are required to have a basic knowledge of the statistical software Stata.

Language Requirements: 
English

Class Size: 
10 - 20 students

Average % of International Students: 
around 50%

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