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Abstract:
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Networks describe relationships between different entities, or nodes, through the presence or absence of connections, or edges, between them. However, networks are not commonly studied as single, static instances, but as dynamic phenomena, with multiple potential edges altering between nodes across time. This talk will describe some appropriate ways to summarise the structure of such networks, discussing when these summarises can be stably estimated. Whilst replication of inter-nodal contact can stabilise estimation, if changes are too erratic, elucidating the nature of relationships may be difficult. Fortunately, adapting general methodology to specific applications can yield extra insight in such situations.
joint work with Pierre-André Maugis, Simon Lunagomez and Patrick Wolfe
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