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"Time-evolving networks in medical applications" SS 2015

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Start on June 30: 9:30 in SR119, A3.

Vorbesprechung am 14.4.2015, 10:15 in SR 119, Arnimallee 3

General information

SWS: 2, ECTS:

Lectures: Heike Siebert, Natasa Conrad

Language: English / German

Dates

Tuesday 10-12h

SR 119/A3

Contents

Complex networks play a central role in biological modeling. In many medical applications the networks of interest, such as contact networks describing the spread of a disease or molecular networks capturing important cell functions, are not static but change over time. Understanding the way essential network characteristics evolve temporally often is crucial in the search for control mechanisms to counteract or prohibit detrimental effects and is thus a key challenge in fields such as epidemiology or evolutionary medicine. Within the seminar we will discuss basic theory, applications and challenges of time-evolving networks in the field of medical research on the basis of recent journal publications.

Schedule (subject to change)

Date	Lecturer	Topic	Material
05.05.
07.07.
14.04.		Vorbesprechung
14.07.
21.04.
28.04.		Review talk on static networks and their applications	slides
26.05.	Dick, Fiona	Dynamic reconfiguration of human brain networks during learning
09.06.	Frisch, Tobias	Centrality measures for temporal networks
	Gosdschan, Alexander	Mapping change in large networks	slides
12.05.	Hafiz Muhammad Hamid	Introduction to time evolving networks for infectious disease spreading	slides
19.05.	Kersten, Nina	Analysis of face-to-face behavioral networks
	Krannich, Thomas	Epidemiologically optimal static networks from temporal network data
16.06.	Liedtke, Melanie	Extracting time evolving networks from data: Reality Mining-Sensing Complex Social Systems
02.06.	Rams, Mona	Temporal motifs
	Schüllermann, Tino	Structural controllability of temporal networks
30.06.	Solleder, Marthe	Control and Immunization of epidemics in time evolving networks
23.06.	Valcheva, Ana	Components in time-varying graphs	slides

Materials

List fo topics

P. Holme and J. Saramäki, Temporal networks, 2012.

N. Masuda and P. Holme, Predicting and controlling infectious disease epidemics using temporal networks, 2013

Minimum requirements

To successfully complete the course you need to deliver

• 45-60 minutes presentation
• short abstract (3 pages + references) to be handed in July 26, 2015, at the latest

To prepare your talk make sure to meet with your supervisor:

• at least 3 weeks before your talk to discuss your topic
• at least 1 week before your talk to discuss an outline for your talk

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