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Barry Wellman
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S.D. Clark Professor of Sociology, FRSC NetLab Director
Department of Sociology 725 Spadina Avenue, Room 388
University of Toronto Toronto Canada M5S 2J4 twitter:barrywellman
http://www.chass.utoronto.ca/~wellman fax:+1-416-978-3963
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Date: Fri, 31 Dec 2010 17:04:35 +0100
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Subject: [bms-rc33] Call - PhD Positions with ICS (Groningen, Netherlands)
Thanks to Christian Steglich
Deadline: 15 January 2011
Dear colleagues,
As part of its annual recruitment and selection procedure for
PhD-students, the Interuniversity Center for Social Science Theory and
Methodology (ICS) in the Netherlands is looking for excellent candidates
for a couple of four-year-long PhD projects on several network-related
topics. In particular, we are looking for candidates interested in the
following projects in statistical network analysis:
Project "Statistical Models for Three-Way Network Data"
Examples of three-way social processes are gossip (where two people
choose a third person, an ´object´ to talk about), informal
mediation (where a colleague might entrust a problem with another
colleague to a third colleague, who acts as mediator to solve the
problem), or social cognitive maps (where actors in a dyadic network
report their perceptions of the whole network). While in dyadic
network data actors have two roles, as 'sender' and 'receiver', in
triadic observations they have a third role, for instance as
'object' (of gossip), as 'mediator' (of problems with colleagues),
or as 'observer' (of dyadic relations). While older work
(Krackhardt, 1987) focused on how to summarize triadic data to
obtain a dyadic network, such data reduction implies a potentially
severe loss of information. So far, not much work has been done to
develop statistical models for three-way data (see Bond & Kenny,
2002, for an exception). This project focuses on the development of
appropriate statistical models to handle the richness of this type
of data.
Project "Validity of Models for Network Structure and Social
Influence Processes"
In the past decade, the analysis of social networks with statistical
models has developed rapidly with the availability of new estimation
methods, using advanced computational techniques, coupled with new
insights in the complex structure of social network data. On the one
hand, these are models explaining the shape of networks as such,
i.e., the interdependencies between the network actors. On the other
hand, there are models using networks to explain other phenomena,
such as (change in) status, performance, or peer influence. Many new
methods and models have been proposed, one of them being stochastic
actor-based modeling ("SIENA"), proposed by the project initiators.
However, there are hardly any studies comparing the different
approaches.As a consequence, the demarcation of the conclusions that
can reliably be drawn with the available methods remains an open
question and guidelines for the selection of appropriate analytical
methods are lacking. This project aims to fill these gaps.
The two projects will be supervised by Christian Steglich, Marijtje van
Duijn, Mark Huisman, and Tom Snijders. The recruitment and selection
procedure for our scholarships started December 11, 2010. Applications,
online only, should be delivered through the ICS website before January
15, 2011. The interviews will be conducted on March 3, 4, 8 and 9, 2011.
More details, also about the other available positions, can be found via
the website http://www.ics-graduateschool.nl/vacancies/
We very much appreciate your interest and cooperation,
Christian Steglich, Marijtje van Duijn, Mark Huisman, Tom Snijders
on behalf of Rafael Wittek,
Scientific Director ICS
Christian Steglich, researcher
Faculty of Behavioural and Social Sciences
University of Groningen
Grote Rozenstraat 31
9712 TG Groningen
The Netherlands
fon +31-(0)50-363 6189
fax +31-(0)50-363 6226
http://www.gmw.rug.nl/~steglich/
>> Consider submitting your methodologically interesting articles to the BMS <<
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