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In statistics, burstiness is the intermittent increases and decreases in activity or frequency of an event.〔Lambiotte, R. (2013.) "Burstiness and Spreading on Temporal Networks", University of Namur.〕〔Neuts, M. F. (1993.) "The Burstiness of Point Processes", ''Commun. Statist.—Stochastic Models, 9(3):445–66.〕 One of measures of burstiness is the Fano factor—a ratio between the variance and mean of counts. Burstiness is observable in natural phenomena, such as natural disasters, or other phenomena, such as network/data/email network traffic〔D'Auria, B. and Resnick, S. I. (2006.) "Data network models of burstiness", ''Adv. in Appl. Probab.'', 38(2):373–404.〕〔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.〕 or vehicular traffic.〔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.〕 Burstiness is, in part, due to changes in the probability distribution of inter-event times.〔Goh, K.-I. and Barabasi, A.-L. (2006.) ("Burstiness and Memory in Complex Systems" ), ''Physics Data''.〕 Distributions of bursty processes or events are characterised by heavy, or fat, tails.〔 Burstiness of inter-contact time between nodes in a time-varying network can decidedly slow spreading processes over the network. This is of great interest for studying the spread of information and disease. 〔 P. Holme, J. Saramäki. Temporal Networks. Phys. Rep. 519, 118–120; 10.1016/j.physrep.2012.03.001 (2012)〕 ==See also== *Burst transmission *Poisson clumping *Time-varying network 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Burstiness」の詳細全文を読む スポンサード リンク
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