*****  To join INSNA, visit  *****

FYI, this course was very well received last year, and offers tools/methods
of increasing relevance in this "big data" world.


*Analysis of Large-Scale Network Data,** Ann Arbor, Michigan, June 18-22,

Instructor:  Jukka-Pekka Onnela, Harvard University  ****

** **

This year the ICPSR will be offering a special network analysis workshop of
interest to scholars who want to analyze large scale networks.  This 5-day
intensive workshop provides training on how to effectively handle and
analyze large scale networks on datasets involving millions of people or
data points.  It is a third-level course, and assumes that participants
already have experience in the methodology of network analysis at about the
level of the second networks course offered by the ICPSR Summer Program.****

** **

For information on this course and other network courses at ICPSR, along
with fees and registration, visit the ICPSR Summer Program website


*Full Course Description*:  this workshop offers an introduction to
computational network analysis. It is based on learning how to write
scripts, or short snippets of code, using Python and NetworkX. This
approach is extremely versatile, enabling one to analyze structural
properties of networks, generate networks from microscopic rules, simulate
dynamic processes on networks, and much more. The approach is also
scalable, meaning that the methods may be applied to systems of various
sizes, from small networks with a few actors to massive networks consisting
of millions of nodes.****

Participants will learn the necessary scripting skills, and the associated
support skills, that will enable them to build their own tools for carrying
out computational network analysis. The basics of Python and NetworkX will
be taught (although this is not a course on programming) so that this
powerful combination can be applied by participants to network analysis.****

After the workshop, and a little practice, the participants will be able to
run a large variety of analyses and simulations on networks. Some examples
include examining network properties under a structural perturbation (e.g.
node and/or tie removal); running epidemic spreading models (SIR, etc.) on
networks; detecting network communities; simulating opinion formation
models; generating networks from microscopic mechanisms; etc.****

The workshop will include both lectures and hands-on computer laboratory

More information about the ICPSR Summer Program is available at

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