30389 - SOCIAL NETWORK ANALYSIS (Introduction to Network Science)
CLEAM - CLEF - CLEACC - BESS-CLES - BIEMF
Course taught in English
Go to class group/s: 31
Introduction to network science; Network structures: understanding social networks; Using graphs to represent social relations; Creating network data; Visualizing networks; Using matrices to represent social relations; Working with network data; Connection; Embedding; Ego networks; Centrality and power; Cliques and sub-groups; Positions and roles: The idea of equivalence; 16. Multiplex networks; Two-mode networks; Big networks; Small world networks; Scale free networks.
Network origins; Network consequences; Network processes: Contagion; Diffusion; Influence; Network dynamics.
Applications of Social Network Analysis: intra-organizational communities and firms; strategic alliances and mergers & acquisitions
Class contribution (exercises, class discussion, and, of course, attendance and punctuality): 40%;
Final written exam (test on the use of network data and their applications) 60%
R.A. Hanneman, M. Riddle: Introduction to social network methods. Available on line at http://faculty.ucr.edu/~hanneman/nettext/
G.Soda (ed) “Introduction to Network Science”, Il Pellicano, EGEA, 2014.
For Not Attending Students:
Final written exam (test on the use of network data and their applications) based on
- R.A. Hanneman, M. Riddle: Introduction to social network methods. Available on line at http://faculty.ucr.edu/~hanneman/nettext/
- G.Soda (ed) “Introduction to Network Science”, Il Pellicano, EGEA, 2014.
The teaching method requires the use for the lab-sessions of the personal computer. The completion of exercises is an important aspect of the class, and will help them to familiarize with the UCINET software that includes the standard tools used in organizational network analysis.
All students are required to download on their PC the latest version of UCINET (www.analytictech.com).