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Dear all,
please consider submitting an abstract and/or spread the word! Thank you,
Manuel

*Call for pa**pers for a subpanel on methodology and network analysis*
Workshop on Empirical Methods
Swiss Political Science Association, Annual convention 2014, University of
Berne
January 30/31, 2014
*Submit your abstract!<https://webmail.eawag.ch/owa/redir.aspx?C=PGMzScEgf0mPLO5rKX8OL1Som5zpgNAISIemRwDRx0orl_QfsYGsFiULC0DUnuPCn7eywAhgmig.&URL=http%3a%2f%2fwww.svpw-assp.ch%2fabstract_upload.php>
*
(Social) Network Analysis has its origins in mathematics and is widely used
and further developed in fields as diverse as biology, statistics,
sociology and anthropology. More recently, it has been successfully applied
in political science – examples include political discourse networks,
legislative networks in parliaments, social networks influencing political
behaviour, trade networks or policy diffusion among states, or formal
models with strategic interactions along network ties. Unlike many other
methods, SNA doesn’t treat the  dependencies between observations as a mere
nuisance to be modeled away, but as the main parameter of interest.
Assuming that observations are independent is often highly problematic in
social sciences, and SNA thus promises solutions to major challenges for
statistical analysis. But it also offers a different lens to look at data,
or, in fact, the overall topic of interest.
The advent of “Big Data” has, in the meantime, opened up vast amounts
information with an inherent network structure (social media, mapping of
web pages, etc), which complement the more traditional approaches of
gathering network data through interviews, questionnaires, and document
analysis.
The workshop thus welcomes papers that apply such new methods for gathering
and analysing political network data (e.g. using exponential random graph
or stochastic actor-oriented models), explore the limits of commonly used
methods, develop models of strategic interaction within and formation of
political networks formally and/or test such models empirically.

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