|
|
|
|
|
|
|
Graph and Information-theoretic Methods for Analyzing Complex Networks
|
| |
| |
|
Description: |
The analysis of graph-based systems is currently an ongoing and outstanding research topic. It turned out that especially techniques for measuring graph similarity are extremely important. In this talk I will outline some existing and novel methods to measure the structural similarity of graphs. Further, the problem of analyzing information processing in networks will be adressed. For this, I present a novel method to determine the entropy of a network that is interpreted as the structural information content. To outline future research and to apply such methods to a challenging problem in computational biology, I will outline the problem of detecting complex diseases by means of graphs.
Area(s):
|
|
Date: |
|
| Start Time: |
14:30 |
|
Speaker: |
Mathias Dehmer
(Vienna University of Technology)
|
|
Place: |
Room 5.5
|
| Research Groups: |
-Probability and Statistics
|
|
See more:
|
<Main>
|
|
| |
|
|
|
|
|
|
|
|
|
