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Research Lab "Distributed Scalable Network Analysis"

This is a research lab ("Forschungspraktikum" in German) in Winter Term 2014/2015 on the topic of Distributed Scalable Network Analysis.

Course number in Klips: 04748

SVN:  https://svn.uni-koblenz.de/kunegis/dsna/

Organizers:  Dr. Jérôme Kunegis, Stefan Scheglmann, Prof. Steffen Staab

In this research lab you will be developing algorithms for distributed and scalable network analysis.  Many data from different areas can be represented as networks, such as social networks, the Internet, citation networks, communication networks, etc.  Many such datasets are very big, and to analyse them scalable and distributed algorithms are thus needed. In the course of the research lab, you will develop a framework that can be used to perform network analysis in a distributed way.  Covered network analysis methods will include the clustering coefficient, the hop distribution and graph matrix decompositions.  Datasets to be used will be taken from the Koblenz Network Collection (KONECT – konect.uni-koblenz.de).

Meetings

Thursday 16–18 in E428 (but not every week – individual dates are given below)

2014-10-16 Kick-off
2014-11-13 Preparation for the talks
2014-12-04 Talks
   
   
   
   

Related Work Presentations

Tung-Yin – Clustering

Carina – Connectivity

Pavi – Hadoop/Giraph

Roman – Hadoop/Giraph