Abstract
Owing to the sheer size of large and complex networks, it is necessary to reduce the information to describe essential properties of vertices and edges, regions, or the whole graph. Usually this is done via network statistics, i.e., a single number, or a series of numbers, catching the relevant and needed information. In this chapter we will give a list of statistics which are not covered in other chapters of this book, like distance-based and clustering statistics. Based on this collection we are going to classify statistics used in the literature by their basic types, and describe ways of converting the different types into each other.
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© 2005 Springer-Verlag Berlin Heidelberg
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Brinkmeier, M., Schank, T. (2005). Network Statistics. In: Brandes, U., Erlebach, T. (eds) Network Analysis. Lecture Notes in Computer Science, vol 3418. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31955-9_11
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DOI: https://doi.org/10.1007/978-3-540-31955-9_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24979-5
Online ISBN: 978-3-540-31955-9
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