Session 1 - Introduction

PPT:http://www.paho.org/CDMEDIA/KMC-SNA/Session1_Introduction/Intro_session1.ppt

Exercise: http://www.paho.org/CDMEDIA/KMC-SNA/Session1_Introduction/Icebreaker.xls

Session 2 - Concepts and terminology

PPT:  http://www.paho.org/CDMEDIA/KMC-SNA/Session2_Concepts and terminology/Session2.ppt

Session 3 - Asking the right question

PPT:  http://www.paho.org/CDMEDIA/KMC-SNA/Session3_Asking the right question/Session3.ppt

Session 4 - Data collection

 PPT: http://www.paho.org/CDMEDIA/KMC-SNA/session4_Data collection/Session4.ppt

Session 5 - Data transformation

PPT: http://www.paho.org/CDMEDIA/KMC-SNA/Session5_Data%20transformation/Session5.ppt

Exercise: http://www.paho.org/CDMEDIA/KMC-SNA/Session5_Data transformation/Ice_matrix.xls

Exercise: http://www.paho.org/CDMEDIA/KMC-SNA/Session5_Data%20transformation/Ice_matrix_final.xls

Session 6 - Data analysis

PPT: http://www.paho.org/CDMEDIA/KMC-SNA/Session6_Data%20analysis/Session6.ppt

Exercise: http://www.paho.org/CDMEDIA/KMC-SNA/Session6_Data%20analysis/exercises/DTTB_Dr.xls

Exercise: http://www.paho.org/CDMEDIA/KMC-SNA/Session6_Data%20analysis/exercises/DTTB_Dr_binary.xls

Session 7 - From insight to action

PPT: http://www.paho.org/CDMEDIA/KMC-SNA/Session7_From%20insight%20to%20action/Session7.ppt

Session 8 - Complement of information

PPT: http://www.paho.org/CDMEDIA/KMC-SNA/Session8_Complement%20of%20information/Session8.ppt 

Tools

UCINET:  http://www.analytictech.com/ucinet6/ucinet.htm

A comprehensive package for the analysis of social network data as well as other 1-mode and 2-mode data. Can read and write a multitude of differently formatted text files, as well as Excel files. Can handle a maximum of 32,767 nodes (with some exceptions) although practically speaking many procedures get too slow around 5,000 - 10,000 nodes. Social network analysis methods include centrality measures, subgroup identification, role analysis, elementary graph theory, and permutation-based statistical analysis. In addition, the package has strong matrix analysis routines, such as matrix algebra and multivariate statistics.

NETDRAW
http://www.analytictech.com/Netdraw/netdraw.htm

NetDraw is a free program written by Steve Borgatti for visualizing both 1-mode and 2-mode social network data. It can handle multiple relations at the same time, and can use node attributes to set colors, shapes, and sizes of nodes. Pictures can be saved in metafile, jpg, gif and bitmap formats. The program reads UCINET system files, UCINET DL files, Pajek files, and its own VNA format (which allows saving network and attribute data together, along with layout information like spatial coordinates, colors, etc.). IMPORTANT: If you format data as a VNA file, NETDRAW can handle *very* large files. For example, sparse networks of 3500 nodes are very practical on a machine with 1GB of RAM (more is better). 10,000 nodes works fine with 2GB of RAM (assuming it is very sparse, of course).
 

SONIA: http://sonia.stanford.edu. 

SoNIA (Social Network Image Animator) is a Java-based package for visualizing dynamic or longitudinal network data. Some help files are at http://sonia.wiki.sourceforge.net

 Thanks in advance for acknowledging the
source of this material when using it

Other Material

Some of the material provided during the course (i.e. publications, slides...) could not be posted here. Please contact Steeve Ebener ( email below) in case you would be interested in having access to it.

Steve Ebener
World Health Organization
email: ebeners@who.int


Page updated:  February 5, 2009