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Call for Submissions “Empirical Studies of the Micro-Macro Link” at Sunbelt 2018

One of the classical reasons for engaging in social network analysis is to arrive at an understanding of the functioning of a social system as it reveals itself in the interdependencies among the social actors that constitute it. As such, social network analysis lies at the intersection of empirical data analysis and the micro-modelling of macro phenomena. This intersection position holds especially for “generative” statistical network models (Epstein, 2006), including but not limited to exponential random graph models (ERGMs, Lusher, Koskinen & Robins, 2012) and stochastic actor-oriented models (SAOMs, Snijders, van de Bunt & Steglich, 2010).

In this session, my aim is to collect contributions that build on empirical data to study the micro-to-macro link. Any study that investigates macro (i.e., network-level) outcomes while taking reasonable effort to calibrate the generative models to an empirical setting (Bruch & Atwell, 2015) is very welcome!

If you have questions about this session, please contact me:
[log in to unmask] (Institute for Analytical Sociology, Norrköping)
[log in to unmask] (ICS, Department of Sociology, Groningen)

Sunbelt 2018 will take place June 26 – July 1 in Utrecht, Netherlands. Abstracts for 20-minute paper presentations can be submitted at https://sunbelt.sites.uu.nl/abstract-submission/. Submissions are due 1 February 2018, and authors of accepted papers will be notified by March 2018.

I look forward to receiving your submissions!
Christian
steglich.gmw.rug.nl


Keywords: micro-macro link, model calibration, exponential random graph models, stochastic actor-oriented models, generative models, agent-based models

Literature:
Bruch, E., & Atwell, J. (2015). Agent-based models in empirical social research. Sociological Methods & Research, 44(2), 186-221.

Epstein, J. M. (2006). Generative social science: Studies in agent-based computational modeling. Princeton University Press.
Lusher, D., Koskinen, J., & Robins, G. (Eds.). (2012). Exponential random graph models for social networks: Theory, methods, and applications. Cambridge University Press.
Snijders, T. A. B., van de Bunt, G. G., & Steglich, C. E. G. (2010). Introduction to stochastic actor-based models for network dynamics. Social Networks, 32(1), 44-60.







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