{ "id": "math/0511526", "version": "v2", "published": "2005-11-21T19:08:18.000Z", "updated": "2008-11-26T19:48:24.000Z", "title": "Giant Components in Biased Graph Processes", "authors": [ "Gideon Amir", "Ori Gurel-Gurevich", "Eyal Lubetzky", "Amit Singer" ], "comment": "31 pages, 3 figures", "categories": [ "math.PR", "math.AP", "math.CO" ], "abstract": "A random graph process, $\\Gorg[1](n)$, is a sequence of graphs on $n$ vertices which begins with the edgeless graph, and where at each step a single edge is added according to a uniform distribution on the missing edges. It is well known that in such a process a giant component (of linear size) typically emerges after $(1+o(1))\\frac{n}{2}$ edges (a phenomenon known as ``the double jump''), i.e., at time $t=1$ when using a timescale of $n/2$ edges in each step. We consider a generalization of this process, $\\Gorg[K](n)$, which gives a weight of size 1 to missing edges between pairs of isolated vertices, and a weight of size $K \\in [0,\\infty)$ otherwise. This corresponds to a case where links are added between $n$ initially isolated settlements, where the probability of a new link in each step is biased according to whether or not its two endpoint settlements are still isolated. Combining methods of \\cite{SpencerWormald} with analytical techniques, we describe the typical emerging time of a giant component in this process, $t_c(K)$, as the singularity point of a solution to a set of differential equations. We proceed to analyze these differential equations and obtain properties of $\\Gorg$, and in particular, we show that $t_c(K)$ strictly decreases from 3/2 to 0 as $K$ increases from 0 to $\\infty$, and that $t_c(K) = \\frac{4}{\\sqrt{3K}}(1 + o(1))$. Numerical approximations of the differential equations agree both with computer simulations of the process $\\Gorg(n)$ and with the analytical results.", "revisions": [ { "version": "v2", "updated": "2008-11-26T19:48:24.000Z" } ], "analyses": { "subjects": [ "05C80", "60C05" ], "keywords": [ "giant component", "biased graph processes", "random graph process", "missing edges", "differential equations agree" ], "note": { "typesetting": "TeX", "pages": 31, "language": "en", "license": "arXiv", "status": "editable", "adsabs": "2005math.....11526A" } } }