research-article

A Novel Agent-Based Rumor Spreading Model in Twitter

Authors:

Emilio Serrano,

Carlos Ángel Iglesias,

Mercedes GarijoAuthors Info & Claims

WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web

Pages 811 - 814

https://doi.org/10.1145/2740908.2742466

Published: 18 May 2015 Publication History

Abstract

Viral marketing, marketing techniques that use pre-existing social networks, has experienced a significant encouragement in the last years. In this scope, Twitter is the most studied social network in viral marketing and the rumor spread is a widely researched problem. This paper contributes with a (1) novel agent-based social simulation model for rumors spread in Twitter. This model relies on the hypothesis that (2) when a user is recovered, this user will not influence his or her neighbors in the social network to recover. To support this hypothesis: (3) two Twitter rumor datasets are studied; (4) a baseline model which does not include the hypothesis is revised, reproduced, and implemented; (5) and a number of experiments are conducted comparing the real data with the two models results.

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Cited By

Puri PHassler GKatragadda SShenk A(2024)Digital cloning of online social networks for language-sensitive agent-based modeling of misinformation spreadPLOS ONE10.1371/journal.pone.030488919:6(e0304889)Online publication date: 21-Jun-2024
https://doi.org/10.1371/journal.pone.0304889
Bajpai SChaturvedi A(2024)A multi-criteria decision making based integrated approach for rumor prevention in social networksMultimedia Tools and Applications10.1007/s11042-024-18419-183:29(1-26)Online publication date: 12-Feb-2024
https://doi.org/10.1007/s11042-024-18419-1
Frank T(2024)Simplicity of rumor self-organization revealed by unstable eigenvectors and amplitudesComputational and Mathematical Organization Theory10.1007/s10588-024-09393-yOnline publication date: 30-Dec-2024
https://doi.org/10.1007/s10588-024-09393-y
Show More Cited By

Index Terms

A Novel Agent-Based Rumor Spreading Model in Twitter
1. Computing methodologies
  1. Modeling and simulation
    1. Model development and analysis
      1. Model verification and validation

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Published In

cover image ACM Other conferences

WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web

May 2015

1602 pages

ISBN:9781450334730

DOI:10.1145/2740908

General Chairs:
Aldo Gangemi
National Research Council, Italy & Paris 13 University-CNRS, France
,
Stefano Leonardi
Sapienza University of Rome, Italy
,
Alessandro Panconesi
Sapienza University of Rome, Italy

Copyright © 2015 Copyright is held by the International World Wide Web Conference Committee (IW3C2).

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IW3C2: International World Wide Web Conference Committee

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 May 2015

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Autonomous Region of Madrid
Spanish Ministry of Economy and Competitiveness
Spanish Ministry of Industry Energy and Tourism

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WWW '15

Sponsor:

IW3C2

WWW '15: 24th International World Wide Web Conference

May 18 - 22, 2015

Florence, Italy

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Citations

Cited By

Puri PHassler GKatragadda SShenk A(2024)Digital cloning of online social networks for language-sensitive agent-based modeling of misinformation spreadPLOS ONE10.1371/journal.pone.030488919:6(e0304889)Online publication date: 21-Jun-2024
https://doi.org/10.1371/journal.pone.0304889
Bajpai SChaturvedi A(2024)A multi-criteria decision making based integrated approach for rumor prevention in social networksMultimedia Tools and Applications10.1007/s11042-024-18419-183:29(1-26)Online publication date: 12-Feb-2024
https://doi.org/10.1007/s11042-024-18419-1
Frank T(2024)Simplicity of rumor self-organization revealed by unstable eigenvectors and amplitudesComputational and Mathematical Organization Theory10.1007/s10588-024-09393-yOnline publication date: 30-Dec-2024
https://doi.org/10.1007/s10588-024-09393-y
Yao XGao NGu CHuang H(2023)Enhance Rumor Controlling Algorithms Based on Boosting and Blocking Users in Social NetworksIEEE Transactions on Computational Social Systems10.1109/TCSS.2022.318233710:5(2698-2712)Online publication date: Oct-2023
https://doi.org/10.1109/TCSS.2022.3182337
Antosz PPuga-Gonzalez IShults FLane JNormann R(2022)Documenting Data Use in a Model of Pandemic “Emotional Contagion” Using the Rigour and Transparency Reporting Standard (RAT-RS)Advances in Social Simulation10.1007/978-3-030-92843-8_33(439-451)Online publication date: 30-Mar-2022
https://doi.org/10.1007/978-3-030-92843-8_33
Kant RVarea R(2021)Spreading (dis)trust in Fiji? Exploring COVID-19 misinformation on Facebook forumsPacific Journalism Review : Te Koakoa10.24135/pjr.v27i1and2.116627:1and2(63-84)Online publication date: 30-Sep-2021
https://doi.org/10.24135/pjr.v27i1and2.1166
Li HXia CWang TWen SChen CXiang Y(2021)Capturing Dynamics of Information Diffusion in SNS: A Survey of Methodology and TechniquesACM Computing Surveys10.1145/348527355:1(1-51)Online publication date: 23-Nov-2021
https://dl.acm.org/doi/10.1145/3485273
Yao XLiang GGu CHuang H(2021)Rumors clarification with minimum credibility in social networksComputer Networks10.1016/j.comnet.2021.108123193(108123)Online publication date: Jul-2021
https://doi.org/10.1016/j.comnet.2021.108123
Blane JMoffitt JCarley K(2021)Simulating Social-Cyber Maneuvers to Deter Disinformation CampaignsSocial, Cultural, and Behavioral Modeling10.1007/978-3-030-80387-2_15(153-163)Online publication date: 4-Jul-2021
https://doi.org/10.1007/978-3-030-80387-2_15
Maseri ANorman AEke CAhmad AMolok N(2020)Socio-Technical Mitigation Effort to Combat Cyber Propaganda: A Systematic Literature MappingIEEE Access10.1109/ACCESS.2020.29946588(92929-92944)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2994658
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