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Graphons: A Nonparametric Method to Model, Estimate, and Design Algorithms for Massive Networks
[article]
2017
arXiv
pre-print
Many social and economic systems are naturally represented as networks, from off-line and on-line social networks, to bipartite networks, like Netflix and Amazon, between consumers and products. Graphons, developed as limits of graphs, form a natural, nonparametric method to describe and estimate large networks like Facebook and LinkedIn. Here we describe the development of the theory of graphons, for both dense and sparse networks, over the last decade. We also review theorems showing that we
arXiv:1706.01143v1
fatcat:qrycnxgnjzepjfr3kyyjbpilda