Emotion spreading carried by emoji in social network

01-12-2023
Original Article

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Authors: Fuzhong Nian; Xiaochen Yang; Zheming Wang
Published in: Social Network Analysis and Mining | Issue 1/2023

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Abstract

The article delves into the phenomenon of emotion spreading facilitated by emojis on social media platforms. It introduces the S3I model, which extends the classical SI model to account for the complex dynamics of emotional contagion. The study examines the impact of individual emotional indices, emoji attributes, flock effects, and credibility on the spread of emotions. Through simulation experiments and real-world data analysis, the authors demonstrate that negative emotions tend to spread more rapidly and extensively, highlighting the significance of understanding emotional dynamics in social networks. The article concludes with practical implications for controlling and mitigating the spread of undesirable emotions online.

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Title: Emotion spreading carried by emoji in social network
Authors: Fuzhong Nian
Xiaochen Yang
Zheming Wang
Publication date: 01-12-2023
Publisher: Springer Vienna
Published in: Social Network Analysis and Mining / Issue 1/2023
Print ISSN: 1869-5450
Electronic ISSN: 1869-5469
DOI: https://doi.org/10.1007/s13278-023-01144-2

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Emotion spreading carried by emoji in social network

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