Role of persistent cascades in diffusion
Name
PhysRevE.99.012323.pdf
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705.97 KB
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Adobe PDF
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517d8cdc5ea1406dd8cdbf840f4f402b
Author(s)
González, Marta C.
Morse, Steven T.
Markuzon, Natasha
Date Issued
January 2019
Journal
Physical Review E
Publisher
American Physical Society
Citation
Morse, Steven et al. "Role of persistent cascades in diffusion." Physical Review E 99, 1 (January 2019): 012323 © 2019 American Physical Society
Version
Final published version
Abstract
We define a structural property of real-world large-scale communication networks consisting of the recurring patterns of communication among individuals, which we term persistent cascades. Using methods of inexact tree matching and agglomerative clustering, we group these patterns into classes which we claim represent some underlying way in which individuals tend to disseminate information. We extend methods from epidemic modeling to offer a way to analytically model this recurring structure in a random network, and comparing to the data, we find that the real cascading structure is significantly larger and more recurrent than the random model. We find that the cascades reveal a habitual hierarchy of spreading, alternative roles in weekday vs weekend spreading, and the existence of hidden spreaders. Finally, we show that cascade membership increases the likelihood of receiving information spreading through the network through simulation on the real order of communication events.
MIT Department
Charles Stark Draper Laboratory
Massachusetts Institute of Technology. Operations Research Center
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1103/PhysRevE.99.012323
