Abstract

Recently many new random graph models have been introduced, motivated originally by attempts to model disordered large-scale networks in the real world, but now also by the desire to understand mathematically the space of (sequences of) graphs. This article will focus on two topics. Firstly, we discuss the percolation phase transition in these new models, and in general sequences of dense graphs. Secondly, we consider the question ‘when are two graphs close?’ This is important for deciding whether a graph model fits some real-world example, as well as for exploring what models are possible. Here the situation is well understood for dense graphs, but wide open for sparse graphs. The material discussed here is from a variety of sources, primarily work of

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.