Understanding and modeling the complex dynamics of the online social networks: a scalable conceptual approach

Lymperopoulos, Ilias N.; Ioannou, George

doi:10.1007/s12530-016-9145-9

Cited by 12 publications

(3 citation statements)

References 95 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This suggests that the choice of institutions to facilitate such governance must be particularly attentive to challenges involving understanding both local and global 37 Cf. Lymperopoulos and Ioannou (2016), arguing as much. 38 I understand "nonlinear" in this context to refer to a kind of disproportion rooted in the conjunction of feedback loops and extensive interconnections among agents, in which one seemingly small intervention can lead to chains of adaptive responses from the underlying agents, and hence surprising consequences, including in distant locations.…”

Section: A Design Criterion For Any Polycentricmentioning

confidence: 98%

The Networked Leviathan

Gowder

2023

View full text Add to dashboard Cite

Governments and consumers expect internet platform companies to regulate their users to prevent fraud, stop misinformation, and avoid violence. Yet, so far, they've failed to do so. The inability of platforms like Facebook, Google, and Amazon to govern their users has led to stolen elections, refused vaccines, counterfeit N95s in a pandemic, and even genocide. Such failures stem from these companies' inability to manage the complexity of their userbases, products, and their own incentives under the eyes of internal and external constituencies. The Networked Leviathan argues that countries should adapt the institutional tools developed in political science for platform governance to democratize major platforms. Democratic institutions allow knowledgeable actors to freely share and apply their understanding of the problems they face while leaders more readily recruit third parties to help manage their decision-making capacity. This book is also available Open Access on Cambridge Core. For more information, visit https://networked-leviathan.com.

show abstract

Section: A Design Criterion For Any Polycentricmentioning

confidence: 98%

The Networked Leviathan

Gowder

2023

View full text Add to dashboard Cite

show abstract

“…Coupled neural networks have been applied to many utility fields, like social networks, 1 power grids, 2 multi‐author scientific collaborations, 3 and biological systems 4 . The coupled network can be regarded as an established framework to describe and understand interactions between biological agents, including proteins, metabolites, and genes.…”

Section: Introductionmentioning

confidence: 99%

Effect of large delay on pinning impulsive synchronization control: A strict comparison principle

Jiang

Alofi

et al. 2023

Intl J Robust & Nonlinear

View full text Add to dashboard Cite

Summary Over the past decades, various successful results have shown the discoveries and progress of impulsive synchronization. Yet, little attention has been devoted to the effects of the impulsive elasticity coefficient on network synchronization for both impulsive control problems and impulsive disturbance problems. In this work, we study impulsive pinning synchronization for coupled neural networks from a large delay perspective. Some flexible synchronization criteria are derived based on the average impulsive interval method. It has shown that synchronization of coupled neural networks with arbitrarily finite delay can be achieved via controlling a small fraction of nodes. Specifically, by applying a strict comparison principle for impulsive delayed neural networks, the effects of the impulsive elasticity coefficient on synchronization are revealed to be dissimilar from the case of delay‐free neural networks. One can verify that increasing the elasticity coefficient may bring a desynchronizing impact on the original synchronized networks. More ulteriorly, the generated criteria will still hold if the delay is sufficiently large, which implies that the delay is independent of the size of the impulsive interval. Our work is an essential step toward investigating the role of the elasticity coefficient on synchronization. Furthermore, the synchronization region of different impulsive weights, impulsive intervals, and impulsive control proportions are described thoroughly.

show abstract

“…Currently, a huge number of scientific studies related to different types of communication between people focus on social networks and communication features (Merkulova & Kononova, 2009;Lymperopoulos & Ioannou, 2016;Vaca Ruiz et al, 2014;Bao et al, 2015 and others). The text content mainly consists of messages from the participants in social networks.…”

mentioning

confidence: 99%

Citation of Mass Media Resources in Social Networks

Fokina¹,

Nikitina²,

Vinogradova³

2018

View full text Add to dashboard Cite

The role of social networks in the formation of collective behaviour and a sustainable point of view/position regarding the information events or facts is studied herein. The purpose of the study is to analyse the reaction of the users of popular social networks, expressed in quotations and responses to the messages of mass media resources. A statistical measure of interest in the media news is identified through unique messages from queries on the topic. The approach used is aimed at improving the scientific argumentation on the assumption of a direct relationship between these phenomena. The empirical evaluation is carried out according to the data obtained from the Russian segment of social networks. The trends in the distribution of media content in social media and social networks are revealed using structural and correlation analysis. It is determined that the publications in online media correlate directly with the activities of social networks and are caused by the release of one or another information event. The results of the study also convincingly point out that the importance of the media resources, expanding due to the integration of social networks, increases, while the classical model of online media (media edition as own website) is gradually losing popularity and audience.

show abstract

Understanding and modeling the complex dynamics of the online social networks: a scalable conceptual approach

Cited by 12 publications

References 95 publications

The Networked Leviathan

The Networked Leviathan

Effect of large delay on pinning impulsive synchronization control: A strict comparison principle

Citation of Mass Media Resources in Social Networks

Contact Info

Product

Resources

About