# Longitudinal social network analysis with RSIENA

**Friday 10 January 2014**

**Trainer : Guido Conaldi**

The workshop will give an introduction to:

- Statistical modelling of longitudinal social network data
- Basics of using the RSIENA computer programme.

The longitudinal network data are repeated observations of a directed graph on a given node set, where ties may depend both on nodesâ€™ own attributes (individual qualities and forms of similarity between individuals) and on the existence of other ties (with phenomena such as reciprocity, transitivity, cycles, popularity).

### Participants will learn:

- An intuitive understanding of the statistical models and introduction to the operation of the software
- Steps of data manipulation and hands-on analysis
- Advanced models for the simultaneous dynamics of networks and behaviour
- Other topics such as model specification and goodness of fit checking.

### Requirements

- It will be helpful for participants to know how to run R and how to give basic R commands on their machine (further knowledge of R is not required)
- Participants are advised to read in advance: the tutorial given in Snijders, T.A.B., Steglich, C.E.G., and van de Bunt, G.G. (2010); Introduction to actor-based models for network dynamics; Social Networks, 32, 44-60, and the RSIENA website instructions.

### Learning outcomes

This workshop teaches statistical models to analyse data implemented in the RSIENA software, focusing on: the bases of statistical methodology; examples of possible applications to the social and economic sciences; and the use of the programme.