Social Network Analysis

Methodological Course

ESTC: 3

Summary of the lecture:

Innovation is an interactive process in which actors create novelty by
drawing on existing, internal and external, knowledge. Increasingly,
actors collaborate in this process and thereby form innovation networks,
which have received growing interest during the past decades: How are
these networks formed and how do they evolove over time? What is the
influence of actors' positions within the network on the amount and kind
of knowledge that can be acquired and on their subsequent performance?
How is system performance shaped by network structure?
The purpose of this lecture is to present an overview of theories,
concepts, and methods as a prerequisite to analyse social networks with
an emphasis on innovation networks. As a methodological course, the
focus will be on relational data and on some popular software tools for the
analysis of social networks.
Day 1: Introduction to social network analysis and innovation networks
Day 2: SNA software: UCINET, Pajek, R (with packages sna and network)
Day 3: Reading seminar (Papers are assigned on Day 1)
Day 4: Presentation of own SNA study (Topics will be assigned on Day 2)

Necessary Prior Knowledge:

Basic knowledge in innovation economics and some experience with R will
be helpful.

Type of exam:

Paper and presentation

Relevant literature:

Hanneman, RA, Riddle, M (2005), Introduction to social network methods,
Riverside, CA: University of California, Riverside (published in digital form
at \url{http://faculty.ucr.edu/~hanneman/})
Wassermann, S. & Faust, K. (1994), Social Network Analysis: Methods
and Applications, Cambridge University Press
Cantner, U. & Graf, H. (2011), Innovation Networks: formation,
performance and dynamics, in: Antonelli, C. (ed.) Handbook on the
Economic Complexity of Technological Change, Edward Elgar, Cheltenham
UK, 366-394
Additional literature will be given in class.
Software (best to be installed before the course starts)
- UCINET (90 days test version can be downloaded from
https://sites.google.com/site/ucinetsoftware/home)
- Pajek (http://pajek.imfm.si/doku.php)
- R (with packages sna, network, RSiena, cran.r-project.org)
Expected benefit for GSBC students (esp. those not out of your
discipline):
At the end of the course, students should be able to perform empirical
SNA studies on their own and have gained some basic knowledge about
innovation networks and current research topics.

Lecture times:

9:00-13:00 08/05/2012 (Tuesday)

9:00-13:00 15/05/2012 (Tuesday)

9:00-16:00 22/05/2012 (Tuesday)

9:00-16:00 19/06/2012 (Tuesday)

The updated times and rooms are available at: gk.wiwi.uni-jena.de/index.php

Date

08.05.–19.06.2012

Time

09:00–16:00

Place

Bachstraße 18k (east wing)

Friedrich-Schiller-University Jena, Bachstraße 18k (east wing), 07743 Jena, Jena

Room

SR 102

Speaker

Holger Graf, FSU Jena

Regular price

free

Organizers

Graduate College "The Economics of Innovative Change" (EIC)

Vacancies

fully booked

Deadline for registration

29.04.2012

Registration

Sorry, the registration period for this event is over.

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