دورية أكاديمية

Influence Cascades: Entropy-Based Characterization of Behavioral Influence Patterns in Social Media

التفاصيل البيبلوغرافية
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
الوصف
تدمد:10994300
DOI:10.3390/e23020160