INF2031 - Statistical Analysis of Network Data

It is a capital mistake to theorize before one has data.
Sherlock Holmes in “A Study in Scarlett” (Arthur Conan Doyle).

Livros sugeridos: 

- Eric Kolaczyk and Gárbos Csárdi. Statistical Analysis of Network Data with R, Springer, 2014.

M. E. J. Newman. Networks: An introduction, Oxford, 2010.

- Nina Zumel and John Mount. Practical Data Science with R, Manning, 2014.

- Crhistopher Gandrud, Reproducible Research with R and RStudio, R Series, CRC Press, 2014.

- Yihui Xie, Dynamic Documents with R and Knitr, R Series, CRC Press, 2014.

Software:

http://www.r-project.org/
http://www.rstudio.com/

Códigos:

https://github.com/kolaczyk/sand

e-mail: lopes at inf dot puc-rio dot br
Tel: 55+21+3527-1500 R:4350  Fax: 55+21+3527-1530
Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio) - Departamento de Informática - Sala 408 RDC
Rua Marquês de São Vicente 225, Gávea, Rio de Janeiro, RJ, Brazil, CEP 22451-900