Details - Modelling Social networks
SIMIAN
Event
- Title:
- Modelling Social networks
- When:
- 27.11.2009
- Where:
- University of Surrey - Guildford
- Category:
- Advanced Course
Description
There is increasing interest in social network analysis within the social sciences, primarily because it is a way of examining the structures of interactions between actors. While earlier forms of social network analysis were mainly concerned with building a static picture of networks recorded at one moment in time, attention has now turned to more dynamic analyses, in which the development of network structures is attended to.
Concurrently, agent-based modelling, which enables the interactions between agents to be represented in a straightforward way, has become more interested in network structures. However, modellers tend to stick with a few archetypical and probably unrepresentative network forms in designing their models, such random, small world and preferential attachment networks.
In this advanced course, we shall discuss the possible linkages between social network analysis and agent-based modelling, reviewing current ideas in both areas and considering how agent-based modelling might benefit from work in social network analysis and vice versa.
Concurrently, agent-based modelling, which enables the interactions between agents to be represented in a straightforward way, has become more interested in network structures. However, modellers tend to stick with a few archetypical and probably unrepresentative network forms in designing their models, such random, small world and preferential attachment networks.
In this advanced course, we shall discuss the possible linkages between social network analysis and agent-based modelling, reviewing current ideas in both areas and considering how agent-based modelling might benefit from work in social network analysis and vice versa.
Venue
- Venue:
- University of Surrey - Website
- ZIP:
- GU2 7XH
- City:
- Guildford
- State:
- Surrey
- Country:
- UK
EventList powered by schlu.net