Mitchell centre Seminar series
Dates: | 16 November 2022 |
Times: | 16:00 - 18:00 |
What is it: | Seminar |
Organiser: | School of Social Sciences |
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Federico Bianchi
Statale University of Milan
Agent-based models of social networks
The seminar will be centred on Agent-Based Modelling (ABM) as a strategy for modelling social networks while avoiding some of the pitfalls of standard statistical models. Because of its high flexibility, ABM allows researchers to model tie selection as the outcome of nodes undertaking a variety of possible decision-making processes. In this way, models can be developed that do not rely on unrealistic assumptions about specific social arrangements (e.g., complete information about the global degree distribution, memory-less myopic decision-making, etc.) This point will be made using two examples. The first one will show how to use ABMs to explore the possible evolution of observed social networks by manipulating context-dependent conditions. The second one will show how the status-driven preferences of nodes and their cycles of organizational overload could explain the emergence of advice networks without assuming complete information about the network structure.
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G7
Humanities Bridgeford Street
Manchester