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Thesis

Communities in annotated, multilayer, and correlated networks

Abstract:

Networks are abstract representations of systems in which objects called "nodes" interact with each other via "edges", typically in a pairwise fashion. Examples of networks include neurons interacting via synapses in the brain, people connected on an online social network, and cities linked by roads. Most real-world networks have a complex structure that is neither fully random nor fully regular, and characterising their "mesoscale" structures is an important topic in network science that ...

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Department:
University of Oxford

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Department:
University of Oxford
Role:
Supervisor
Department:
University of California, Los Angeles
Role:
Supervisor
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Grant:
EP/L015803/1
Funding agency for:
Project
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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