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"Time-evolving networks in medical applications" SS 2015
News
Start on June 30: 9:30 in SR119, A3.
Vorbesprechung am 14.4.2015, 10:15 in SR 119, Arnimallee 3
SWS: 2, ECTS:
Lectures: Heike Siebert,
Natasa Conrad
Language: English / German
Dates
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 |
| 14.04. |
Vorbesprechung |
| 21.04. |
| 28.04. |
Review talk on static networks and their applications |
slides |
| 05.05. |
| 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 |
| 26.05. |
Dick, Fiona |
Dynamic reconfiguration of human brain networks during learning |
| 02.06. |
Rams, Mona |
Temporal motifs |
|
Schüllermann, Tino |
Structural controllability of temporal networks |
| 09.06. |
Frisch, Tobias |
Centrality measures for temporal networks |
|
Gosdschan, Alexander |
Mapping change in large networks |
slides |
| 16.06. |
Liedtke, Melanie |
Extracting time evolving networks from data: Reality Mining-Sensing Complex Social Systems |
| 23.06. |
Valcheva, Ana |
Components in time-varying graphs |
slides |
| 30.06. |
Solleder, Marthe |
Control and Immunization of epidemics in time evolving networks |
|
Krannich, Thomas |
Epidemiologically optimal static networks from temporal network data |
| 07.07. |
| 14.07. |
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