Abstract
In this paper, we briefly present a classification scheme of information-based network complexity measures. We will see that existing as well as novel measures can be divided into four major categories: (i) partition-based measures, (ii) non partition-based measures, (iii) non-parametric local measures and (iv) parametric local measures. In particular, it turns out that (ii)-(iv) can be obtained in polynomial time complexity because we use simple graph invariants, e.g., metrical properties of graphs. Finally, we present a generalization of existing local graph complexity measures to obtain parametric complexity measures.
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© 2009 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Dehmer, M., Emmert-Streib, F. (2009). Towards Network Complexity. In: Zhou, J. (eds) Complex Sciences. Complex 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 4. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02466-5_68
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DOI: https://doi.org/10.1007/978-3-642-02466-5_68
Publisher Name: Springer, Berlin, Heidelberg
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