ArticleEntropy (Basel, Switzerland)2021
Influence Cascades: Entropy-Based Characterization of Behavioral Influence Patterns in Social Media.
Article in Entropy (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Comparing community-based interventions versus population-wide response in information diffusion on social media platforms.Data & policy · 2026Article
- Comparing Social Media Communities using Functional Data Analysis.Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences · 2024Article
- Behavior Variations and Their Implications for Popularity Promotions: From Elites to Mass on Weibo.Entropy (Basel, Switzerland) · 2022Article
- Social Influence Maximization in Hypergraphs.Entropy (Basel, Switzerland) · 2021Article
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Authors and funding
5 authors.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.