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Article

Interaction Strength Analysis to Model Retweet Cascade Graphs

1
Institute for Informatics and Telematics (IIT) of the National Research Council of Italy (CNR), 56124 Pisa, Italy
2
Department of Information Engineering, University of Pisa, 56124 Pisa, Italy
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(23), 8394; https://doi.org/10.3390/app10238394
Received: 13 October 2020 / Revised: 15 November 2020 / Accepted: 20 November 2020 / Published: 25 November 2020
(This article belongs to the Special Issue Social Network Analysis)
Tracking information diffusion is a non-trivial task and it has been widely studied across different domains and platforms. The advent of social media has led to even more challenges, given the higher speed of information propagation and the growing impact of social bots and anomalous accounts. Nevertheless, it is crucial to derive a trustworthy information diffusion graph that is capable of highlighting the importance of specific nodes in spreading the original message. The paper introduces the interaction strength, a novel metric to model retweet cascade graphs by exploring users’ interactions. Initial findings showed the soundness of the approaches based on this new metric with respect to the state-of-the-art model, and its ability to generate a denser graph, revealing crucial nodes that participated in the retweet propagation. Reliable retweet graph generation will enable a better understanding of the diffusion path of a specific tweet. View Full-Text
Keywords: social media; network analysis; interaction strength; retweet graph; retweet cascade social media; network analysis; interaction strength; retweet graph; retweet cascade
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MDPI and ACS Style

Zola, P.; Cola, G.; Mazza, M.; Tesconi, M. Interaction Strength Analysis to Model Retweet Cascade Graphs. Appl. Sci. 2020, 10, 8394. https://doi.org/10.3390/app10238394

AMA Style

Zola P, Cola G, Mazza M, Tesconi M. Interaction Strength Analysis to Model Retweet Cascade Graphs. Applied Sciences. 2020; 10(23):8394. https://doi.org/10.3390/app10238394

Chicago/Turabian Style

Zola, Paola, Guglielmo Cola, Michele Mazza, and Maurizio Tesconi. 2020. "Interaction Strength Analysis to Model Retweet Cascade Graphs" Applied Sciences 10, no. 23: 8394. https://doi.org/10.3390/app10238394

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