COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |

University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Continuous-time statistical models for network panel data

## Continuous-time statistical models for network panel dataAdd to your list(s) Download to your calendar using vCal - Tom Snijders (University of Groningen; University of Oxford)
- Monday 12 December 2016, 09:30-10:30
- Seminar Room 1, Newton Institute.
If you have a question about this talk, please contact info@newton.ac.uk. SNAW04 - Dynamic Networks For the statistical analysis of network panel data even with as little as 2 waves, it is very fruitful to use models that assume a continuous-time Markov network process, observed only at the moments of observation for the panel. This is analogous to the use of continuous-time models for classical (non-network) panel data proposed by Bergstrom, Singer, and others. For network data such an approach was proposed already by Coleman in 1964. The advantage of this approach is that it provides a simple way to represent the feedback that is inherent in network dynamics, and the model can be defined by just specifying the conditional probability of a tie change, given the current state of the network. - Ruth M. Ripley, Tom A.B. Snijders, Zsófia Boda, András Vörös, and Paulina Preciado, 2016.
*Manual for SIENA version 4.0*. Oxford: University of Oxford, Department of Statistics; Nuffield College. http://www.stats.ox.ac.uk/siena/ - Tom A.B. Snijders, 2001. The statistical evaluation of social network dynamics.
*Sociological Methodology*, 31, 361-395. - Tom A.B. Snijders and Johan Koskinen, 2013. “Longitudinal Models”. Chapter 11 (pp. 130-140) in D. Lusher, J. Koskinen, and G. Robins,
*Exponential Random Graph Models for Social Networks*, Cambridge: Cambridge University Press. - T om A.B. Snijders, Gerhard G. van de Bunt, G. G., and Christian E.G. Steglich, 2010. Introduction to actor-based models for network dynamics.
*Social Networks*, 32, 44–60.
This talk is part of the Isaac Newton Institute Seminar Series series. ## This talk is included in these lists:- All CMS events
- Cambridge Big Data
- Featured lists
- INI info aggregator
- Isaac Newton Institute Seminar Series
- School of Physical Sciences
- Seminar Room 1, Newton Institute
- ndk22's list
- rp587
Note that ex-directory lists are not shown. |
## Other listsYoung Nanoscientist India Award Winner's Lecture sponsored by Oxford Instruments facisnating Talks SciScreen Cambridge## Other talksOncological imaging: introduction and non-radionuclide techniques Immigration and Freedom Environmental stress, cryptic variation and innovation in the simplest molecular systems Climate change, species' abundance changes and protected areas What's the point of Margaret Cavendish's Blazing World? Adsorption-induced stresses and variations of permeability in coal seams during CO2 storage or CH4 production" |