Longitudinal Network Analysis with RSIENA
dal 16/09/2013 alle 09:00 al 20/09/2013 alle 17:30
Dove CeUB (Bertinoro)
Location:
CeUB (Bertinoro) ( http://www.ceub.it/default.asp?id=346 )
Instructor:
Christian Steglich ( http://www.ppsw.rug.nl/~steglich/sites/index.htm )
Other information and contacts
The course is designed primarily for researchers who are currently doing longitudinal social network research or who are embarking upon it. More specifically, the course is about how to analyze panel data (observed at two or more discrete moments in time) on complete social networks (all the network ties within a set of actors are observed as present or absent, except a moderate amount of missing data). The course will treat the statistical modeling of the dynamics of social networks and of the co-evolution of networks and actors, according to the actor-based approach of SIENA models. Some attention will be given also to non-longitudinal network models, the so-called Exponential Random Graph Models (ERGM).
The course will cover both theoretical and practical issues and includes extensive laboratory practice with RSIENA, the implementation of SIENA models in the R environment for statistical computing. For extensive information, materials and references about the statistical analysis of social network dynamics and the SIENA approach see the SIENA website (http://www.stats.ox.ac.uk/~snijders/siena/ )
Those who are new to Social Network Analysis are advised to look at some introductory materials, such as:
- The free online textbook on social network analysis (2005) by Robert Hanneman and Mark Riddle, Introduction to social network methods (http://faculty.ucr.edu/~hanneman/nettext/ )
- John Scott, Social Network Analysis: A Handbook. (2nd edition). Sage, 2000
Christian Steglich is a very experienced instructor of this course, which he taught many times (included two previous editions at the University of Bologna, Bertinoro Centre, in 2009 and 2011) and is still currently teaching around the world. He began his academic career under the mentorship of Tom Snijders, who first introduced this approach for the statistical modeling of social network dynamics in the late 1990s.
Christian Steglich currently works as a researcher at the ICS research school and the Faculty of Behavioral and Social Sciences of the University of Groningen. His research is mainly concerned with the formal modeling of network structure and network dynamics, with special focus on social influence processes in the context of a changing network.
The course is held at the Bertinoro Centre of the University of Bologna, a facility of the university located in the restored medieval castle on the top of Bertinoro, small town on the hills between Forlì and Cesena, 80 km south of Bologna.
Bertinoro Centre (http://www.ceub.it/default.asp?id=346)
Location and Directions (http://www.ceub.it/default.asp?id=435#.UQ9alfK57NI)
The registration fee is 600 euro (VAT included). The fee includes course and materials, coffee breaks (morning and afternoon), internet access (WiFi and LAN). Participants are expected to bring their own laptop for laboratory practice.
Room accommodation, lunches and dinners are not included in the registration fee. Rooms are available at cheap rates inside the university facility that hosts the course (buffet breakfast and self-service lunch included in the room price). Room reservation can be done together with the course registration.
Course registration and room reservation (http://www.ceub.it/default.asp?id_c=172&id=436)
Other information and contacts
The maximum number of participants is 30. Other info (e.g.: for software and installation) or materials (e.g.: example data files, slides) will be given either by e-mail or at the beginning of the course.
For inquiries related to the content of the course, course materials, software ...
contact the course organizers
Raffaele Corrado (raffaele.corrado@unibo.it)
Simone Ferriani (simone.ferriani@unibo.it)
For inquiries related to the processing of course registration, room reservation, payments …
contact the Bertinoro Centre representative
Roberta Partisani (rpartisani@ceub.it).
Monday 16th |
Introduction to social network analysis with R |
09:00 – 11:00 |
Introduction to social network analysis |
Coffee break |
|
11:30 – 13:00 |
Getting started with network analysis in R |
Lunch |
|
14:00 – 16:00 |
General R features & sna package. Lab exercise |
Coffee break |
|
16:30 – 17:30 |
Statistical inference for social network data. Lab exercise |
Tuesday 17th |
Introduction to dynamic network modeling |
09:00 – 11:00 |
Modeling network dynamics |
Coffee break |
|
11:30 – 13:00 |
Dynamic network visualization with the Visone software |
Lunch |
|
14:00 – 16:00 |
Lab exercises |
Coffee break |
|
16:30 – 17:30 |
Lab exercises |
Wednesday 18th |
Modeling the coevolution of networks and behavior |
09:00 – 11:00 |
Model selection / goodness of fit. Lab exercise |
Coffee break |
|
11:30 – 13:00 |
Modeling the coevolution of networks & behaviour |
Lunch |
|
14:00 – 16:00 |
Lab exercises |
Coffee break |
|
16:30 – 17:30 |
Lab exercises |
Thursday 19th |
Network composition change, multilevel analyses, special topics |
09:00 – 11:00 |
Handling composition change in networks. Different data types |
Coffee break |
|
11:30 – 13:00 |
Undirected networks and multiple group analyses. Lab exercises |
Lunch |
|
14:00 – 16:00 |
Analysis of multiplex networks. Lab exercises |
Coffee break |
|
16:30 – 17:30 |
Analysis of two-mode networks. Lab exercises |
Friday 20th |
Time heterogeneity, interaction effects, |
09:00 – 11:00 |
Testing for time heterogeneity. Lab exercise |
Coffee break |
|
11:30 – 13:00 |
Intercation effects and moderation. Lab exercise |
Lunch |
|
14:00 – 16:00 |
Exponential Random Graph Models (ERGMs) |
Coffee break |
|
16:30 – 17:30 |
Lab exercise on ERGMs |