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Differential Equations for Random Processes and Random Graphs

Nicholas C. Wormald
- 01 Nov 1995 - 
- Vol. 5, Iss: 4, pp 1217-1235
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TLDR
In this paper, the authors consider random graph processes in which the maximum degree is bounded and show that the numbers of vertices of given degree exhibit this convergence as the total number of nodes tends to infinity.
Abstract
General criteria are given to ensure that in a family of discrete random processes, given parameters exhibit convergence to the solution of a system of differential equations. As one application we consider random graph processes in which the maximum degree is bounded and show that the numbers of vertices of given degree exhibit this convergence as the total number of vertices tends to infinity. Two other applications are to random processes which generate independent sets of vertices in random $r$-regular graphs. In these cases, we deduce almost sure lower bounds on the size of independent sets of vertices in random $r$-regular graphs.

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The Size of the Giant Component of a Random Graph with a Given Degree Sequence

TL;DR: The size of the giant component in the former case, and the structure of the graph formed by deleting that component is analyzed, which is basically that of a random graph with n′=n−∣C∣ vertices, and with λ′in′ of them of degree i.