On the challenges of predicting microscopic dynamics of online conversations

On the challenges of predicting microscopic dynamics of online conversations

Abstract To what extent can we predict the structure of online conversation trees? We present a generative model to predict the size and evolution of threaded conversations on social media by combining machine learning algorithms. The model is evaluated using datasets that span two topical domains (...

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Bibliographic Details
Main Authors: John Bollenbacher, Diogo Pacheco, Pik-Mai Hui, Yong-Yeol Ahn, Alessandro Flammini, Filippo Menczer
Format: Article
Language:English
Published: SpringerOpen 2021-02-01
Series:Applied Network Science
Subjects:
Information cascades
Conversation trees
Prediction
Social media
Machine learning
Online Access:https://doi.org/10.1007/s41109-021-00357-8

Internet

https://doi.org/10.1007/s41109-021-00357-8

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