Recent Developments in Network Analysis and their Applications (Invited Paper)
Stefan Pickl, Matthias Dehmer, Zhonglin Wang
In this paper we performed a brief survey of the recent
literature on statistical analysis of networks. For
instance, we reviewed contributions dealing with statistical
properties of complex networks like the degree
distribution, the clustering coefficient, and other statistical
analysis techniques such as resampling, bootstrapping,
randomization and so forth. We see that those statistical
techniques are suitable to investigate so-called
non-deterministic networks. That means, we refer to
networks that cannot be inferred deterministically as in
graph theory. Therefore we believe that these approaches
complement classical ones meaningfully and, hence, we
continue doing research in this field. Full Text
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