دورية أكاديمية
Influence Cascades: Entropy-Based Characterization of Behavioral Influence Patterns in Social Media
العنوان: | Influence Cascades: Entropy-Based Characterization of Behavioral Influence Patterns in Social Media |
---|---|
المؤلفون: | Chathurani Senevirathna, Chathika Gunaratne, William Rand, Chathura Jayalath, Ivan Garibay |
المصدر: | Entropy, Vol 23, Iss 2, p 160 (2021) |
بيانات النشر: | MDPI AG, 2021. |
سنة النشر: | 2021 |
المجموعة: | LCC:Science LCC:Astrophysics LCC:Physics |
مصطلحات موضوعية: | influence cascades, transfer entropy, online social networks, cross platforms, cryptocurrency, cyber-vulnerability, Science, Astrophysics, QB460-466, Physics, QC1-999 |
الوصف: | Influence cascades are typically analyzed using a single metric approach, i.e., all influence is measured using one number. However, social influence is not monolithic; different users exercise different influences in different ways, and influence is correlated with the user and content-specific attributes. One such attribute could be whether the action is an initiation of a new post, a contribution to a post, or a sharing of an existing post. In this paper, we present a novel method for tracking these influence relationships over time, which we call influence cascades, and present a visualization technique to better understand these cascades. We investigate these influence patterns within and across online social media platforms using empirical data and comparing to a scale-free network as a null model. Our results show that characteristics of influence cascades and patterns of influence are, in fact, affected by the platform and the community of the users. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 1099-4300 |
Relation: | https://www.mdpi.com/1099-4300/23/2/160; https://doaj.org/toc/1099-4300 |
DOI: | 10.3390/e23020160 |
URL الوصول: | https://doaj.org/article/a0c7946642f24c2e81bd370b1f99487a |
رقم الأكسشن: | edsdoj.0c7946642f24c2e81bd370b1f99487a |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 10994300 |
---|---|
DOI: | 10.3390/e23020160 |