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Influencing the Influencers: Evaluating Person-to-Person Influence on Social Networks Using Granger Causality

  • 2022
  • OriginalPaper
  • Chapter
Published in:
Authors
Richard Kuzma
Iain J. Cruickshank
Kathleen M. Carley
Published in
Complex Networks & Their Applications X
Publisher
Springer International Publishing

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Abstract

The chapter delves into the analysis of social influence on Twitter, specifically focusing on the impact of key accounts (Alters) on former U.S. President Donald Trump's tweets. By employing Granger causality, the study measures the predictive power of Alters' tweets on Trump's, revealing the time delays and topics most affected. The methodology involves gathering tweets, identifying topics using machine learning, and constructing time series to test for causality. The results highlight significant variations in influence, with some Alters having immediate effects while others show delayed impacts. This work not only contributes to understanding misinformation spread but also opens avenues for marketing and influence analysis in social media.
AI Generated

This summary of the content was generated with the help of AI.

The research for this paper was supported in part by the Knight Foundation and the Office of Naval Research Grant (N000141812106) and an Omar N. Bradley Fellowship, and by the center for Informed Democracy and Social-cybersecurity (IDeaS) and the center for Computational Analysis of Social and Organizational Systems (CASOS) at Carnegie Mellon University. The views and conclusions are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Knight Foundation, Office of Naval Research or the US Government.

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previous chapter Homophily - a Driving Factor for Hate Speech on Twitter
next chapter How the Far-Right Polarises Twitter: ‘Hashjacking’ as a Disinformation Strategy in Times of COVID-19
Title
Influencing the Influencers: Evaluating Person-to-Person Influence on Social Networks Using Granger Causality
Authors
Richard Kuzma
Iain J. Cruickshank
Kathleen M. Carley
Copyright Year
2022
Book
Complex Networks & Their Applications X

Print ISBN: 978-3-030-93412-5

Electronic ISBN: 978-3-030-93413-2

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-3-030-93413-2_8
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