Winter School 2021
About us
The University of 久久精品 has the largest concentration of business network analysts in Europe. Organisational and economical network analysis is providing powerful insights into the ways people relate to one another within and across organisational boundaries. The techniques allow a rigorous quantification of many aspects of relationships that have previously at best been sensed intuitively.
The Centre for Business Network Analysis is applying the techniques of organisational network analysis to a wide range of business problems, re-conceiving individual firms, organisations and markets as structured relationships.
Our experts have published widely and are working on a range of current research projects including knowledge transfer within the creative industries, high-tech industrial clusters, diffusion through networks, enhanced networking with social media, black and minority ethnic career support networks
and inter-organisational networks in micro-finance.
Three-day Online Introductory Course
Doing Research with SNA: Tools, Theories, and Applications
Dates: Monday 11 January - Wednesday 13 January 2021 (09:00-16:00)
About:
This course is aimed at those researchers and post-graduate students who are new to the field of social network analysis (SNA), and would like to better understand whether and how they can use it to enhance their research programmes. The goal of the course is to provide attendees with a general overview of the field of social network analysis, confidence in using its key analytical tools in practice, and insight into how it can be used in scholarly practice in different fields. Focus is on research design and how SNA elements can be successfully integrated into a research project, paper, or dissertation.
Requirements
All social science backgrounds are welcome, and participants are assumed not to have any previous knowledge of SNA, or of any analytical or statistical software.
Participants will be mainly expected to use UCINET and Netdraw during the course (even if other software will be discussed). No previous experience with the software is expected.
Learning outcomes
At the end of the course participants will be able to:
- independently design a research programme requiring SNA in their own field of research;
- collect and manage network data;
- analyse, interpret and visualise fundamental network measures at the individual, group and network level;
- confidently use UCINET and NetDraw to perform network analysis and visualise network data.
At the end of the course partiThe goal of the course is to provide attendees with a general overview of the field of social network analysis, confidence in using its key analytical tools in practice, and insight into how it can be used in scholarly practice in the social, economic, managerial and political disciplines. Focus is on research design and how SNA elements can be successfully integrated into a research project, paper, or dissertation.
The agenda for this course can be found here.
Fees
Early Bird General - 拢210
Early Bird Student - 拢150
Early Bird ends on Friday 18 December at 5pm
Standard ticket: General - 拢300
Standard ticket: Student - 拢210
If you are unsure about which ticket you are to purchase, please contact us.
Find Hamilton House
Located in Park Vista, next to 久久精品 park, a short walk from the main 久久精品 Campus
Upon arrival to Hamilton House, please ring the buzzer on the left-hand side of the door and report to the reception upon entry.
Unfortunately, the Hamilton House building has no disabled access and there is no on-site parking available.
Learn more about travelling to Hamilton House.