Mitchell Centre for Social Network Analysis

Mitchell Centre for Social Network Analysis

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The Mitchell Centre for Social Network Analysis is a cross-disciplinary research group located in the School of Social Sciences. The centre’s mission is to be a world leading centre in the development and application of social network analysis techniques. The centre is named after J Clyde Mitchell, who pioneered this approach whilst a member of staff at Manchester. See below for extracts from an interview with Clyde Mitchell recorded by Russ Bernard in 1990.

 

 

 

 

 

 

The aims of the centre are:


• To establish an international centre of excellence for social network analysis within the UK
• To establish a central resource and reference point for social network researchers and users both within the UK and internationally
• To cultivate existing interest and further stimulate interest in social network analysis in the UK and beyond
• To make important contributions to the social network analysis literature

The following topics are a selection of the interests of the centre:


• Data collection and different data types for social network analysis
• Longitudinal networks and network formation
• Descriptive methods and visualization
• Statistical modeling of social networks
• Mixed methods for social networks
• Social networks and social movements
• Social networks and health
• Social networks and consumption
• Social networks and cultural production

Consultancy

We can offer bespoke training courses and consultancy, please contact us directly for further information.

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Upcoming Manchester Methods Summer School

University of Manchester

Monday 7 July - Friday 11 July, 2014

For more information and booking please visit

http://www.methods.manchester.ac.uk/events/mmss2014/index_000.shtml

 

 

Seminar Series 2013/14

Upcoming seminar:

2nd April 2014 Uni Place_2.217

Edmund Chattoe-Brown

Give Me A Place To Stand On and I Will Move The Earth: The Potential for Agent-Based Modelling in Understanding Social Networks

The technique of Agent-Based Modeling (ABM) is increasingly well known in the social sciences. However its associated methodology, partly through neglect within the ABM community itself, is much less well known. It is this methodology that justifies any claim that ABM may try to make that it is a distinctive way of doing social science. It also gives ABM a distinctive relationship with commonly available forms of social science data (quantitative and qualitative). This talk uses two simple examples of ABM (one network based and the other not) to justify the claim that ABM is a distinctive approach to social science (and data) when it follows a particular methodology. It also touches briefly on the implications of non-linearity in social systems for the potential inadequacy of qualitative and quantitative approaches operating in isolation. The main part of the talk will build on this insight to investigate the key role that ABM could play in understanding social networks with particular reference to existing Social Network Analysis (SNA) approaches and the prevailing “separatist” use of qualitative and quantitative data.

 

 

 

 

 

 

 

What is social network analysis?

Follow this link to go to methods@manchester for a brief introduction to social network analysis

 

Russ Bernard Interviews Clyde Mitchell in 1990.

University of Manchester