Patrick Doreian, Vladimir Batagelj, Anuška Ferligoj
Patrick Doreian, Vladimir Batagelj, Anuška Ferligoj: Understanding Large Temporal Networks and Spatial Networks:
Generalized Blockmodeling, CUP,
After establishing its mathematical foundations, this integrated study of
blockmodeling, the most frequently used technique in social network analysis,
generalizes blockmodeling for the examination of many network structures.
It also includes a broad introduction to cluster analysis. The authors propose
direct optimizational approaches to blockmodeling which yield blockmodels that
best fit the data, and create the potential for many generalizations and a
deductive use of blockmodeling.
- Completely general and very flexible treatment of blockmodeling
- Actual blockmodels established fit the data better than those using alternative approaches
- By emphasizing the specification of blockmodels in terms of block types
there is the potential for continuous generalizations and the analyses of many
different types of networks
Pajek - the software accompanying the book
The Application sections in the book show how to perform social network
analysis with program Pajek. It uses a particular version of the
software, namely Pajek3. Its installation file
is available at
Pajek download page.
The data sets used in the book
Each chapter uses one or more examples of social networks. All data sets, used in the book are avaliable at
GBM data sets.
After you download
the zipped data files, extract the data files
to your personal network analysis folder.
20. November 2015 / 2. August 2014 Books;