Social Network Analysis and Visualization with UCINET and Netdraw (fully booked)
Date:
01/02/2017
Organised by:
London School of Economics
Presenter:
Professor Ahmet Suerdem
Level:
Intermediate (some prior knowledge)
Contact:
Esti Sidley, 0207 955 6947, methodology.admin@lse.ac.uk
Map:
View in Google Maps (WC2A 2AE)
Venue:
4th floor, Lionel Robbins Building, Portugal Street, London
Description:
This course aims to demystify Social Network Analysis (SNA) and give a basic understanding of application of mathematical graph theory to social network analysis. SNA is an approach that allows researchers to quantify the pattern of relations among a set of actors. However, SNA is not essentially a quantitative method; it uses quantitative tools for qualitative case studies. It should be in the toolbox of the qualitative researcher to map the social relations behind the participant observations and interviews. The session does not require any mathematical background except basic statistics. Knowledge about some basic social science terms such as roles, groups, power will be useful.
In the first session, participants will learn the basic differences between a questionnaire-based survey data and qualitative network data, how to collect network data and how to prepare the data for analysis. Students will take away basic social network concepts such as cohesion, power, group formations and roles and positions and learn how to measure them in terms of mathematical graph indicators. A special emphasis will be given to the potential of network logic for textual analysis of word association structures.
This event consists of a morning lecture from 10am - 12pm and an afternoon practical session from 1pm - 3pm.
Cost:
£30
Region:
Greater London
Keywords:
Content Analysis, Textual Analysis, Qualitative Approaches (other), Social Network Analysis
Related publications and presentations:
Content Analysis
Textual Analysis
Qualitative Approaches (other)
Social Network Analysis