Random walk attachment graphs

Chris Cannings and Jonathan Jordan
Electronic Communications Probability, Vol. 18 No. 77 (September 2013).

We consider the random walk attachment graph introduced by Saramäki and Kaski and proposed as a mechanism to explain how behaviour similar to preferential attachment may appear requiring only local knowledge. We show that if the length of the random walk is fixed then the resulting graphs can have properties significantly different from those of preferential attachment graphs, and in particular that in the case where the random walks are of length 1 and each new vertex attaches to a single existing vertex the proportion of vertices which have degree 1 tends to 1, in contrast to preferential attachment models.

Link to paper on the ECP website

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Last updated 6 June 2014.