[HTML][HTML] Opinion dynamics in finance and business: a literature review and research opportunities

Q Zha, G Kou, H Zhang, H Liang, X Chen, CC Li… - Financial Innovation, 2020 - Springer
Opinion dynamics is an opinion evolution process of a group of agents, where the final
opinion distribution tends to three stable states: consensus, polarization, and fragmentation …

Analyzing the impact of filter bubbles on social network polarization

U Chitra, C Musco - Proceedings of the 13th International Conference on …, 2020 - dl.acm.org
While social networks have increased the diversity of ideas and information available to
users, they are also blamed for increasing the polarization of user opinions. Eli Pariser's" …

Minimizing polarization and disagreement in social networks

C Musco, C Musco, CE Tsourakakis - … of the 2018 world wide web …, 2018 - dl.acm.org
The rise of social media and online social networks has been a disruptive force in society.
Opinions are increasingly shaped by interactions on online social media, and social …

Learning and forecasting opinion dynamics in social networks

A De, I Valera, N Ganguly… - Advances in neural …, 2016 - proceedings.neurips.cc
Social media and social networking sites have become a global pinboard for exposition and
discussion of news, topics, and ideas, where social media users often update their opinions …

Opinion dynamics with varying susceptibility to persuasion

R Abebe, J Kleinberg, D Parkes… - Proceedings of the 24th …, 2018 - dl.acm.org
A long line of work in social psychology has studied variations in people's susceptibility to
persuasion--the extent to which they are willing to modify their opinions on a topic. This body …

Predicting opinion dynamics via sociologically-informed neural networks

M Okawa, T Iwata - Proceedings of the 28th ACM SIGKDD Conference …, 2022 - dl.acm.org
Opinion formation and propagation are crucial phenomena in social networks and have
been extensively studied across several disciplines. Traditionally, theoretical models of …

Learning interaction kernels in heterogeneous systems of agents from multiple trajectories

F Lu, M Maggioni, S Tang - Journal of Machine Learning Research, 2021 - jmlr.org
Systems of interacting particles, or agents, have wide applications in many disciplines,
including Physics, Chemistry, Biology and Economics. These systems are governed by …

Towards consensus: Reducing polarization by perturbing social networks

MZ Rácz, DE Rigobon - IEEE Transactions on Network Science …, 2023 - ieeexplore.ieee.org
This article studies how a centralized planner can modify the structure of a social or
information network to reduce polarization. First, polarization is found to be highly …

Learnability of influence in networks

H Narasimhan, DC Parkes… - Advances in Neural …, 2015 - proceedings.neurips.cc
We establish PAC learnability of influence functions for three common influence models,
namely, the Linear Threshold (LT), Independent Cascade (IC) and Voter models, and …

An adversarial model of network disruption: Maximizing disagreement and polarization in social networks

MF Chen, MZ Rácz - IEEE Transactions on Network Science …, 2021 - ieeexplore.ieee.org
The spread of misinformation has increased markedly in recent years, a phenomenon which
has been accelerated and amplified by social media such as Facebook and Twitter. While …