Cambridge Colloquium on Complexity and Social
Networks (CCCSN)
Courses archive
Cederman, Lars-Erik
GOV2015: Introduction
to Computational Modeling for Social Scientists
GOV2016: Applied
Computational Modeling
Gabaix, Xavier
MIT Department of Economics
Behavioral
Economics and Finance, syllabus
Relevant
Papers
Gibson, David
Harvard University, Department of Sociology
SOC273: Models
of Social Dynamics
Gomes-Casseres, Ben
website
Hampton, Keith
MIT
11.530: Community
and Social Networks: Social Relations, Place and Cyberspace
11.531: Socal
Networks
Laszlo, Gulyas
GOV2015: Introduction
to Computational Modeling for Social Scientists
GOV2016: Applied
Computational Modeling
Lazer, David
STM-504m (coming soon)
Padgett, John
Complexity
Network Analysis
Pentland,
Sandy/Nathan Eagle/Cameron Marlow
Power
Laws: Hype or Revelation? (MAS.965)
Valente,
Tom
USC Keck School of Medicine, University of Southern California
Social Network Analysis: This course is an introduction
to the theory, methods and procedures of network analysis with emphasis
on applications to public health programs. The goal of the course
is to provide a working knowledge of the concepts and methods used
to describe and analyze networks so that professionals and researchers
can understand the results and implications of this body of research.
The course also provides the training necessary for scholars to
conduct network analysis in their own research careers.
Wheeler, Michael
Syllabus
Woolcock, Michael
Kennedy School of Government, Harvard University
PED308:
Social Institutions and Economic Development: Addresses the
role of informal networks as part of the survival and mobility strategies
of the poor in developing countries
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2005 The
President and Fellows of Harvard College
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