Burstiness

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Burstiness is a statistics term referring to the intermittent increases and decreases in activity or frequency of an event.[1][2]

Burstiness is observable in natural phenomena, such as natural disasters, or other phenomena, such as network/data/email network traffic[3][4] or vehicular traffic.[5] Burstiness is, in part, due to changes in the probability distribution of inter-event times.[6] Distributions of bursty processes or events are characterised by heavy, or fat, tails.[1]

See also[edit]

References[edit]

  1. ^ a b Lambiotte, R. (2013.) "Burstiness and Spreading on Temporal Networks", University of Namur.
  2. ^ Neuts, M. F. (1993.) "The Burstiness of Point Processes", Commun. Statist.—Stochastic Models, 9(3):445-66.
  3. ^ D'Auria, B. and Resnick, S. I. (2006.) "Data network models of burstiness", Adv. in Appl. Probab., 38(2):373-404.
  4. ^ Ying, Y.; Mazumdar, R.; Rosenberg, C.; Guillemin, F. (2005.) "The Burstiness Behavior of Regulated Flows in Networks", Proceedings of the 4th IFIP-TC6 International Conference on Networking Technologies, Services, and Protocols, Performance ofo Computer and Communication Networks, Mobile and Wireless Communication Systems, 3462:918-29.
  5. ^ Jagerman, D. L. and Melamed, B. (1994.) "Burstiness Descriptors of Traffic Streams: Indices of Dispersion and Peakedness", Proceedings of the 1994 Conference on Information Sciences and Systems, 1:24-8.
  6. ^ Goh, K.-I. and Barabasi, A.-L. (2006.) "Burstiness and Memory in Complex Systems", Physics Data.