An introduction in the world of Social Network Analysis and a view on how this may help learning networks. History, data collection and several analysis techniques are shown.

3. History Social Network Analysis Psychology Anthropology

4. 1930s: Jacob Moreno http://institutomomento.wordpress.com sociogram

5. 1950s: Cartwright and Harary Dorwin Cartwright http://www.rcgd.isr.umich.edu http://www.ur.umich.edu Frank Harary + - - A B C “ any balanced graph can be divided into two cohesive sub-groups that are in conflict with each other”

6. 1920s: Warner and Mayo Mayo Warner Hawthorne http://administracion1enlinea.blogspot.com http://www.wolframalpha.com effect focus on relationships

7. 1920s: Warner and Mayo Mayo Warner http://administracion1enlinea.blogspot.com http://www.wolframalpha.com adapted from Scott, 2000 cliques every person is separated by only one step

10. History Social Network Analysis Psychology Anthropology Hawthorne Networks Graph theory Sociogram Graph theory Strength of weak ties

11. Examples centrality = power (Krackhardt, 1990) ‘ broker’ (Burt, 2004)

13. Data collection

14. Ego network ego network but.... self-perceived ask for connections ask connections if they are connected alter alter

15. Snowball method but.... self-perceived ask for connections ask connections for their connections until you reach a stopping criterion

16. Complete networks monitor email traffic or monitor tweets

17. Data storage Adjacency matrix (R, UCINET)

19. Data storage Pajek network (Pajek, UCINET)

23. Analysis: community A D C B E F Faction http://www.physorg.com/news/2011-01-mathematical-groups-factions.html

24. Analysis: individual A D C B E F G H Betweenness network is dependent on C Degree G is very popular 12 12 14 17 17 18 19 19 Closeness C and G can easily reach others