| Summary: | 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.
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