poster

Finding influentials based on the temporal order of information adoption in twitter

Authors:

Changhyun Lee,

Haewoon Kwak,

Hosung Park,

Sue MoonAuthors Info & Claims

WWW '10: Proceedings of the 19th international conference on World wide web

Pages 1137 - 1138

https://doi.org/10.1145/1772690.1772842

Published: 26 April 2010 Publication History

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Abstract

Twitter offers an explicit mechanism to facilitate information diffusion and has emerged as a new medium for communication. Many approaches to find influentials have been proposed, but they do not consider the temporal order of information adoption. In this work, we propose a novel method to find influentials by considering both the link structure and the temporal order of information adoption in Twitter. Our method finds distinct influentials who are not discovered by other methods.

References

[1]

H. Kwak, C. Lee, H. Park, and S. Moon. What is Twitter, a Social Network or a News Media? In WWW '10: Proceedings of the 19th international conference on World Wide Web, 2010.

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[2]

E. M. Rogers. Diffusion of Innovations, 5th Edition. Free Press, 5 edition, August 2003.

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Xie WWang XMichalski RJia T(2025)Towards a performance characteristic curve for model evaluation: An application in information diffusion predictionExpert Systems with Applications10.1016/j.eswa.2025.126482270(126482)Online publication date: Apr-2025
https://doi.org/10.1016/j.eswa.2025.126482
Kenny RFischhoff BDavis ACanfield C(2023)Improving Social Bot Detection Through Aid and TrainingHuman Factors: The Journal of the Human Factors and Ergonomics Society10.1177/00187208231210145Online publication date: 14-Nov-2023
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Kenny RFischhoff BDavis ACarley KCanfield C(2022)Duped by Bots: Why Some are Better than Others at Detecting Fake Social Media PersonasHuman Factors: The Journal of the Human Factors and Ergonomics Society10.1177/0018720821107264266:1(88-102)Online publication date: 24-Feb-2022
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Index Terms

Finding influentials based on the temporal order of information adoption in twitter
1. Applied computing
  1. Law, social and behavioral sciences

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Published In

WWW '10: Proceedings of the 19th international conference on World wide web

April 2010

1407 pages

ISBN:9781605587998

DOI:10.1145/1772690

General Chairs:
Michael Rappa
North Carolina State University, USA
,
Paul Jones
University of North Carolina at Chapel Hill, USA
,
Program Chairs:
Juliana Freire
University of Utah, USA
,
Soumen Chakrabarti
Indian Institute of Technology, India

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Association for Computing Machinery

New York, NY, United States

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Published: 26 April 2010

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WWW '10

WWW '10: The 19th International World Wide Web Conference

April 26 - 30, 2010

North Carolina, Raleigh, USA

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

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Xie WWang XMichalski RJia T(2025)Towards a performance characteristic curve for model evaluation: An application in information diffusion predictionExpert Systems with Applications10.1016/j.eswa.2025.126482270(126482)Online publication date: Apr-2025
https://doi.org/10.1016/j.eswa.2025.126482
Kenny RFischhoff BDavis ACanfield C(2023)Improving Social Bot Detection Through Aid and TrainingHuman Factors: The Journal of the Human Factors and Ergonomics Society10.1177/00187208231210145Online publication date: 14-Nov-2023
https://doi.org/10.1177/00187208231210145
Kenny RFischhoff BDavis ACarley KCanfield C(2022)Duped by Bots: Why Some are Better than Others at Detecting Fake Social Media PersonasHuman Factors: The Journal of the Human Factors and Ergonomics Society10.1177/0018720821107264266:1(88-102)Online publication date: 24-Feb-2022
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What is Twitter, a social network or a news media?

Disinformation Warfare: Understanding State-Sponsored Trolls on Twitter and Their Influence on the Web

A sentiment analysis of audiences on twitter: who is the positive or negative audience of popular twitterers?

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