Branching process descriptions of information cascades on Twitter-Reference-Cited by-同舟云学术

Branching process descriptions of information cascades on Twitter

Published:2020-12-01 Issue:6 Volume:8 Page:
ISSN:2051-1310
Container-title:Journal of Complex Networks
language:en
Short-container-title:

Author:

Gleeson James P¹,Onaga Tomokatsu²,Fennell Peter³,Cotter James⁴,Burke Raymond⁴,O’Sullivan David J P⁴

Affiliation:

1. MACSI, Department of Mathematics and Statistics, University of Limerick, Limerick, Ireland; Insight Centre for Data Analytics, University of Limerick, Limerick, Ireland and Confirm Centre for Smart Manufacturing, University of Limerick, Limerick, Ireland

2. The Frontier Research Institute for Interdisciplinary Sciences & Graduate School of Information Sciences, Tohoku University, Sendai, Miyagi, Japan

3. MACSI, Department of Mathematics and Statistics, University of Limerick, Limerick, Ireland and USC/ISI, 4676 Admiralty Way, Marina Del Rey, Los Angeles, CA 90292, USA

4. MACSI, Department of Mathematics and Statistics, University of Limerick, Limerick, Ireland

Abstract

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.

Funder

Science Foundation Ireland

European Regional Development Fund

James S. McDonnell Foundation

JSPS KAKENHI

Publisher

Oxford University Press (OUP)

Subject

Applied Mathematics,Computational Mathematics,Control and Optimization,Management Science and Operations Research,Computer Networks and Communications

Link

http://academic.oup.com/comnet/article-pdf/8/6/cnab002/36648195/cnab002.pdf

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