Sociology | Topics in Quantitative Sociology
S651 | 21642 | Wasserman


Topic:  Social Network Analysis: Methods and Applications

Social network analysis focuses on relationships between social
entities.  It is used widely in the social and behavioral sciences,
as well as in political science, economics, organizational science,
and industrial engineering.  The social network perspective, which
will be taught in this workshop, has been developed over the last
sixty years by researchers in psychology, sociology, and
anthropology, and more recently, to a lesser extent, in physics.

The social network paradigm is gaining recognition and standing in
the general social and behavioral science communities as the
theoretical basis for examining social structures.  This basis has
been clearly defined by many theorists, and the paradigm convincingly
applied to important substantive problems.  However, the paradigm
requires a new and different set of concepts and analytic tools,
beyond those provided by standard quantitative (particularly,
statistical) methods.  These concepts and tools are the topics of
this course.

The course will present an introduction to various concepts, methods,
and applications of social network analysis drawn from the social,
behavioral, and political sciences.  The primary focus of these
methods is the analysis of relational data measured on groups of
social actors.  Topics to be discussed include an introduction to
graph theory and the use of directed graphs to study structural
theories of actor interrelations; structural and locational
properties of actors, such as centrality, prestige, and prominence;
subgroups and cliques; equivalence of actors, including structural
equivalence, blockmodels, and an introduction to role algebras; an
introduction to local analyses, including dyadic and triad analysis;
and statistical global analyses, using models such as pl, p*, and
their relatives.