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Random Graphs and Network Models

  • Katharina A. ZweigEmail author
Chapter
Part of the Lecture Notes in Social Networks book series (LNSN)

Abstract

One of the most important concepts in network analysis is to understand the structure of a given graph with respect to a set of suitably randomized graphs, a so-called random graph model. Structures which are found to be significantly different from those expected in the random graph model require a new random graph model which exemplifies how the structure might emerge in the complex network. In this chapter the most common random graph models are introduced: the classic Erdős-Rényi model, the small-world model by Watts and Strogatz, and the preferential attachment model by Barabási and Albert.

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Copyright information

© Springer-Verlag GmbH Austria 2016

Authors and Affiliations

  1. 1.TU Kaiserslautern, FB Computer ScienceGraph Theory and Analysis of Complex NetworksKaiserslauternGermany

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