Branching process descriptions of information cascades on Twitter

James P. Gleeson; Tomokatsu Onaga; Peter Fennell; James Cotter; Raymond Burke; David J.P. O'Sullivan

doi:10.1093/comnet/cnab002

Branching process descriptions of information cascades on Twitter

James P. Gleeson, Tomokatsu Onaga, Peter Fennell, James Cotter, Raymond Burke, David J.P. O'Sullivan

Department of Mathematics and Statistics

Research output: Contribution to journal › Article › peer-review

Abstract

A detailed analysis of Twitter-based information cascades is performed, and it is demonstrated that branching process hypotheses are approximately satisfied. Using a branching process framework, models of agent-to-agent transmission are compared to conclude that a limited attention model better reproduces the relevant characteristics of the data than the more common independent cascade model. Existing and new analytical results for branching processes are shown to match well to the important statistical characteristics of the empirical information cascades, thus demonstrating the power of branching process descriptions for understanding social information spreading.

Original language	English
Article number	cnab002
Journal	Journal of Complex Networks
Volume	8
Issue number	6
DOIs	https://doi.org/10.1093/comnet/cnab002
Publication status	Published - 1 Dec 2020

Keywords

Branching processes
Cascades
Networks

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10.1093/comnet/cnab002

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title = "Branching process descriptions of information cascades on Twitter",

abstract = "A detailed analysis of Twitter-based information cascades is performed, and it is demonstrated that branching process hypotheses are approximately satisfied. Using a branching process framework, models of agent-to-agent transmission are compared to conclude that a limited attention model better reproduces the relevant characteristics of the data than the more common independent cascade model. Existing and new analytical results for branching processes are shown to match well to the important statistical characteristics of the empirical information cascades, thus demonstrating the power of branching process descriptions for understanding social information spreading.",

keywords = "Branching processes, Cascades, Networks",

author = "Gleeson, {James P.} and Tomokatsu Onaga and Peter Fennell and James Cotter and Raymond Burke and O'Sullivan, {David J.P.}",

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AU - Gleeson, James P.

AU - Onaga, Tomokatsu

AU - Fennell, Peter

AU - Cotter, James

AU - Burke, Raymond

AU - O'Sullivan, David J.P.

PY - 2020/12/1

Y1 - 2020/12/1

N2 - A detailed analysis of Twitter-based information cascades is performed, and it is demonstrated that branching process hypotheses are approximately satisfied. Using a branching process framework, models of agent-to-agent transmission are compared to conclude that a limited attention model better reproduces the relevant characteristics of the data than the more common independent cascade model. Existing and new analytical results for branching processes are shown to match well to the important statistical characteristics of the empirical information cascades, thus demonstrating the power of branching process descriptions for understanding social information spreading.

AB - A detailed analysis of Twitter-based information cascades is performed, and it is demonstrated that branching process hypotheses are approximately satisfied. Using a branching process framework, models of agent-to-agent transmission are compared to conclude that a limited attention model better reproduces the relevant characteristics of the data than the more common independent cascade model. Existing and new analytical results for branching processes are shown to match well to the important statistical characteristics of the empirical information cascades, thus demonstrating the power of branching process descriptions for understanding social information spreading.

KW - Branching processes

KW - Cascades

KW - Networks

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U2 - 10.1093/comnet/cnab002

DO - 10.1093/comnet/cnab002

M3 - Article

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VL - 8

JO - Journal of Complex Networks

JF - Journal of Complex Networks

IS - 6

M1 - cnab002

ER -

Branching process descriptions of information cascades on Twitter

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Keywords

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