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A tale of the tails: Power-laws in internet measurements
2013
IEEE Network
Power-laws are ubiquitous in the Internet and its applications. This tutorial presents a review of power-laws with emphasis on observations from Internet measurements. First, we introduce power-laws and describe two commonly observed power-law distributions, namely the Pareto and Zipf distributions. Two frequently occurring terms associated with these distributions, specifically heavy tails and long tails, are also discussed. Second, the preferential attachment model, which is a widely used
doi:10.1109/mnet.2013.6423193
fatcat:qaneoc2h5fclvh73rkb64vlgwa