"Social Network Analysis - Concepts and Methods"
Scope and subjects
Social network analysis (SNA) aims at understanding the processes of interaction and coordination within social systems, be it small friendship networks, large communities (e.g. within the academia) or strategic alliances of different partners (e.g. in research and development). The qualitative approach distinguishes the network mode of coordination from markets and hierarchies, while the quantitative approach develops measures that help to identify positions of individuals within networks and to analyse the structure of the whole network.
The workshop will give an overview of different SNA approaches – both qualitative and quantitative – and will also present different methods of SNA, ranging from static measures to dynamic models, which allow for investigating the dynamics of networks, too.
1. Introduction
- The challenge of coping with complexity
- Outlook of social network analysis
- Overview over the subjects of the course
2. Networks, Markets, Hierarchies
- Typologies of social coordination
- Basic reading: Powell 1990
- Further references: Powell/Grodal 2005, Weyer 2014c
- Handout parts 1-3
3. Empirical studies
- Innovation networks
- Basic reading: Weyer 2014b
- Further references: Powell/Grodal 2005, Pyka/Scharnhorst 2009, Cantner/Graf 2006
- Handout (see above)
4. Governance and Complexity
- Social mechanisms of control and coordination
- New approaches to multi-level-governance
- Simulation of the governance of complex systems (SimCo)
- System-Theoretical Accident Modelling and Processes (STAMP)
- Basic reading: Weyer et al. 2015
- Further references: Hedström/Swedberg 1996, Mayntz 2003, Torfing et al. 2012, Ostrom 2010, Duit/Galaz 2008, Leveson et al. 2009
- Handout part 4a
- Handout part 4b
- Handout part 4c - Perrow/STAMP
5. Methods of SNA
6. Software for SNA
- SIENA
- UCINET
- PAJEK
- Gephi (Verion 0.9.2 - doesn't work properly)
- Gephi (Version 0.9.1 - please download)
- Musterdatei
- NetLogo
- Basic reading: Weyer et al. 2014
- Further references: Hanneman/Riddle 2005, Borgatti et al. 2002
- Handout (see above)
7. Experimentation with Gephi
- Creation of table with nodes and edges in Excel
- Matrix multiplication
- Data import into Gephi
- Visualization
8. Data Networks in the Age of the Internet
- Reality mining
- Predictive analysis
- Real-time governance of complex systems
- Governance by/of algorithms?
- Trapped in the net?
- Smart regulation of data society
- Basic reading: Weyer 2014a
- Further references: Eagle/Pentland 2006, Eagle/Greene 2014, Russell 2013, Larose/Larose 2015, McCue 2014, Saurwein et al. 2015, Just/Latzer 2016, Kurz/Rieger 2009, Rochlin 1997
- Handout part 8
9. Final discussion
- Summary
- Feedback
- Link to the second part
References
- Borgatti, S.P./M.G. Everett/L.C. Freeman, 2002: Ucinet for Windows: Software for Social Network Analysis. Harvard, MA: Analytic Technologies.
- Cantner, Uwe/Holger Graf, 2006: The network of innovators in Jena: An appli-cation of social network analysis. In: Research Policy 35: 463-480.
- Dikova, Desislava, 2015: Improving Innovation: Are Internal And External Sources Of Knowledge Complements Or Substitutes? In: Schmalenbach Business Review: ZFBF 67: 349-367.
- Duit, Andreas/Victor Galaz, 2008: Governance and complexity—emerging issues for governance theory. In: Governance 21 (3): 311-335.
- Eagle, Nathan/Kate Greene, 2014: Reality mining: Using big data to engineer a better world. MIT Press.
- Eagle, Nathan/Alex Pentland, 2006: Reality mining: sensing complex social systems. In: Personal and ubiquitous computing 10: 255-268.
- Faust, Katherine, 1997: Centrality in affiliation networks. In: Social networks 19 (2): 157-191, http://www.socsci.uci.edu/~kfaust/faust/research/articles/faust_centrality_sn_1997.pdf.
- Fritsch, Michael/Martina Kauffeld-Monz, 2010: The impact of network struc-ture on knowledge transfer: an application of social network analysis in the context of regional innovation networks. In: The Annals of Re-gional Science 44: 21-38.
- Hanneman, Robert A./Mark Riddle, 2005: Introduction to social network methods. http://www.faculty.ucr.edu/~hanneman/nettext/.
- Hedström, Peter/Richard Swedberg, 1996: Social Mechanisms. In: Acta Socio-logica 39: 281-308.
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- Rochlin, Gene I., 1997: Trapped in the net. The unanticipated consequences of computerization. Princeton: Princeton UP.
- Russell, Matthew A., 2013: Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More (2nd Edition). O'Reilly Media, Inc.
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