Statistical analysis of social networks
An introduction to statistical analysis of social networks. The course aims to give a basic understanding of and working handle on drawing inference for structure and attributes (3 - 7 July 2017).
Summer School
Methods@Manchester, an intive funded by The University of Manchester Faculty of Humanities runs a number of summer schools aimed at highlighting Manchester's strength in research methods in the social sciences.
The fifth methods@manchester Summer School will be held at The University of Manchester from 26 June - 7 July 2017. Each course at the school will run for one week*. Each course will deliver four days of content to a five-day timetable (Monday afternoon to Friday lunch-time)*, building on successful methods@manchester and CMIST short-courses given throughout the year.
* the Big Data Analysis for Social Scientists Masterclass runs for two days, 4-5 July 2017, 9am until 5pm.
A selection of the 2017 calendar of summer schools is now available and can be viewed below. To see the entire 2017 calendar please visit the Methods@Manchester website.
Introduction to SNA using UCINET and Netdraw
An introductory course covering the concepts, methods and techniques of social network analysis. The course is based on the book "Analyzing Social Networks" by Stephen Borgatti (3 - 7 July 2017).
Big Data Analysis for Social Scientists masterclass
This course introduces participants to the collection and analysis of socially-generated 'big data' using the R statistical software, VOSON and Gephi network visualisation software (4 - 5 July 2017).