@inproceedings{64e3f1fb52dd44a297e6e83447e13692,
title = "Using a Temporal-Causal Network Model for Computational Analysis of the Effect of Social Media Influencers on the Worldwide Interest in Veganism",
abstract = "Over the years, a clear and steady rise can be seen in the interest in veganism. Although research has been conducted to determine the reasons why veganism has grown, ultimately there is still a necessity for further research on how social networks affect its growth. This paper aims to provide a possible explanation for the rise in interest, using computational analysis based on a temporal-causal network model focussing on social contagion. This model portrays a simulation of a sample size population on Instagram, showing how a social influencer can influence the opinions of people directly (influencers{\textquoteright} followers) and indirectly (followers of the influencers{\textquoteright} followers), and how this compares to a situation in which this influencer is not there.",
keywords = "Network-oriental modelling approach, Social contagion, Social media, Temporal-causal network, Veganism",
author = "Sijm, {Manon Lisa} and Exel, {Chelsea Rome} and Jan Treur",
year = "2020",
doi = "10.1007/978-981-32-9343-4_12",
language = "English",
isbn = "9789813293427",
volume = "2",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "129--140",
editor = "Xin-She Yang and Simon Sherratt and Nilanjan Dey and Amit Joshi",
booktitle = "Fourth International Congress on Information and Communication Technology",
note = "4th International Congress on Information and Communication Technology, ICICT 2019 ; Conference date: 27-02-2019 Through 28-02-2019",
}