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Thesis

Probabilistic inference in ecological networks; graph discovery, community detection and modelling dynamic sociality

Abstract:

This thesis proposes a collection of analytical and computational methods for inferring an underlying social structure of a given population, observed only via timestamped occurrences of its members across a range of locations. It shows that such data streams have a modular and temporally-focused structure, neither fully ordered nor completely random, with individuals appearing in "gathering events". By exploiting such structure, the thesis proposes an appropriate mapping of those spatio-t...

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Research group:
Machine Learning Group
Oxford college:
Wolfson College
Role:
Author

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Role:
Supervisor
Role:
Supervisor
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Funding agency for:
Psorakis, I
Publication date:
2013
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
Oxford University, UK

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