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Refer to my GitHub page for current open-source contributions.

Throughout my studies and PhD work I have developed scientific software with a focus on graph algorithms. I have initiated the open-source project NetworKit which provides a collection of tools for data analysis of large complex networks, implemented in C++, Python and Cython. From 2012 – 2016 I contributed as maintainer, software architect and algorithm developer.


Academic Publications

I have published work on graph algorithms for complex network analysis, which has earned me a PhD in computer science from the Karlsruhe Institute of Technology with the thesis Algorithms and Software for the Analysis of Large Complex Networks – and an Erdös-Number of 3. DBLP has a full list of my publications, including

  • Christian L. Staudt, Henning Meyerhenke: Engineering Parallel Algorithms for Community Detection in Massive Networks. IEEE Trans. Parallel Distrib. Syst. 27(1): 171-184 (2016)
  • Michael Hamann, Gerd Lindner, Henning Meyerhenke, Christian L. Staudt, Dorothea Wagner:
    Structure-preserving sparsification methods for social networks. Social Netw. Analys. Mining 6(1): 22:1-22:22 (2016)
  • Christian L. Staudt, Aleksejs Sazonovs, Henning Meyerhenke: NetworKit: A Tool Suite for Large-scale Complex Network Analysis. Network Science.

My local coauthorship network

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