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Literacy: When Is a Network Model Explanatory?

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

Abstract

Network analysis relies strongly on network models for several reasons: they show that a certain structure can be generated by a set of simple rules, they predict certain behaviors and functions, and they can be used as null-models. In this chapter, the question discussed is whether the classic network models are likely to be explanatory network models for complex systems like metabolic networks, the internet , or collaboration networks.

Keywords

Degree Distribution Preferential Attachment Network Process Random Graph Model Preferential Attachment Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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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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