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**
“Network Data Analysis”**

Date: |
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Time: |

Wednesday, 07. Feb 2018 |
Video-Recording for any system with MP4-support
- Video.mp4 (ca.412 Mb) |
15:15 – 16:20 |

**Sofia Olhede**

**
**(

Abstract :

A network is a
set of entities (vertices) and binary relationships (edges) between them.

Statistical
analysis of such objects is hindered by the fact that the vertex labelling of
the

network normally
does not carry any information, the network is made from a very large

set of vertices,
and the number of network edges is relatively modest.

A natural
assumption to make in this setting is that the network is a realisation of an

exchangeable
array. I will discuss different methods of data analysis for such types of

data with weak
assumptions on the data generating mechanism, and what information

can be gleaned
from different data summaries that both carry structural information,

and a notion of
scale.

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