|
Title |
Introductory Social Network Analysis |
| Responsible/ Coordinator |
Associate Professor Thomas Schøtt, University of Southern Denmark |
| Lecturers |
Associate Professor Thomas Schøtt, University of Southern Denmark |
| Purpose and Content |
Networks can be mapped as relations among actors. An actor may be a person, an organization, a nation, a region or some other entity that can engage in action. For example, we may examine - qualitatively and quantitatively - how networks constrain and enable actors' thoughts and behaviours. Networks are analysed in sociology, psychology, anthropology, political science, history, geography, communication, and studies of policy, administration and business. An introduction "What is network analysis" can be read via http://www.insna.org.
The course will teach the general theoretical and methodological principles and apply them to business networks. The course has two goals. First, the participants will learn to conduct quantitative analyses of networks. Training will be offered in analyses at the level of the whole system, at the level of subgroups, and at the level of individual actors. Second, the participants will be exposed to, and discuss, a variety of theoretical perspectives on the study of business networks, along with methods utilized in these theoretical frameworks. The aim of the course is to empower the participants to analyse networks and to integrate theory and methodology in the analyses of social networks, specifically business networks.
The format combines lectures and discussion with training in analyses. We use network analytic software such as UCINET and Pajek which each student will take home afterwards.
Data on some networks will be made available by the instructor (e.g. some data on interlocking directorates among enterprises in a city), but the participants are also welcome to bring some data on networks (if you have some data on networks, please email tsc@sam.sdu.dk prior to the course). |
| Literature |
“What is network analysis?” at http://www.insna.org
Introduction to Social Network Methods. Robert Hanneman and Mark Riddle (2005),
www.faculty.ucr.edu/~hanneman/nettext/
(download and print chapters 1-13 and also 17 on paper; this is our primary reading for the course)
Social network analysis. John Scott. (second edition is preferable)
Analysis of social networks. David Knoke et al.
Applied network analysis. Ronald Burt et al.
Changing organizations: business networks. David Knoke.
Social capital: theory and research. Nan Lin et al.
Achieving success through social capital. Wayne Baker.
Networking smart. Wayne Baker.
Networks in the global village. Barry Wellman.
Social structures: a network approach (second edition). Barry Wellman et al.
Social network analysis. Stanley Wasserman et al.
Network models of the diffusion of innovations. Thomas Valente.
Social Networks (journal), see at http://www.insna.org (click on Publications)
Connections (journal), see at http://www.insna.org (click on publications)
Journal of Social Structure, published at http://www.cmu.edu/joss
Network analysis” by Ronald Burt and “Network models” by Thomas
Schøtt, in Structure Manual (236 pages) which can be downloaded from www.uchicago.edu/fac/
ronald.burt/teaching/STRUCmanual.pdf
|
| Location |
The course will be held in a renovated farmhouse in the remote village Doucy-dessous in the mountainous nature park Massif des Baugnes in the French Alps, south of Geneva, east of Lyon and west of Mont Blanc. Participants will arrange for their own travel by car, by plane to Lyon, Geneva or Chambery, or by train to Geneva or Aix-les-Bains, and will be picked up there upon arrival. Bring laptop. All travel and sojourn will be at own risk and responsibility.
|
| Time |
17-21 August 2009 |
Teaching
language |
English
|
| Participants |
The course is intended for researchers and PhD students who are studying business networks and who wish to acquire this network analytic tool, the skill to map and analyse networks. The course does not presume any acquaintance with network analysis (although familiarity with statistics and quantitative methods will be useful). |
| Application |
Before 26 June 2009 to: Lisbeth Widahl, DOME, Aarhus School of Business, University of Aaarhus, Haslegaardsvej 10, DK-8210 Aarhus V. Please download an application form, which can be found on the right-hand side of this web page. (Applications should also be emailed to tsc@sam.sdu.dk.) |
| Fee |
3,000 DKK. This includes transportation to and from train or airport, meals (beverages are not included) and lodging at the farmhouse. Participants pay their own air or train fare. |
Credits/
Evaluation |
5 ECTS
|
| Further information |
Thomas Schøtt or Lisbeth Widahl
|
|
Course outline/schedule - not available
|