使用具有吸引子的共同进化潜在空间网络模型解开社交媒体交互中的积极和消极党派关系
Disentangling positive and negative partisanship in social media interactions using a coevolving latent space network with attractors model
摘要：
我们开发了一个广泛适用的类的共同进化的潜在空间网络与吸引子（CLSNA）模型，其中节点代表个人的社会行动者假设躺在一个未知的潜在空间，边缘代表的存在下，一个指定的演员之间的相互作用，和吸引子被添加到潜在的水平，以捕捉的概念的吸引力和排斥力。我们应用CLSNA模型来了解社交媒体上党派极化的动态，我们预计共和党人和民主党人将越来越多地与自己的政党互动，并与反对党脱离关系。本文利用Twitter和Reddit的纵向社交网络，分别考察了政治精英和公众之间的正向（吸引力）和负向（排斥力）力量的相对贡献。我们的目标是理清政党内部和政党之间的积极和消极力量，并探索它们是否以及如何随着时间的推移而变化。我们的分析证实，政治精英和公众在社交媒体互动中存在党派两极分化。此外，尽管积极的党派偏见是公众和民主党精英在整个研究期间互动的驱动力，但自2016年总统大选以来，消极的党派偏见已经主导了共和党精英的互动。
英文摘要：
We develop a broadly applicable class of coevolving latent space network with attractors (CLSNA) models, where nodes represent individual social actors assumed to lie in an unknown latent space, edges represent the presence of a specified interaction between actors, and attractors are added in the latent level to capture the notion of attractive and repulsive forces. We apply the CLSNA models to understand the dynamics of partisan polarization on social media, where we expect Republicans and Democrats to increasingly interact with their own party and disengage with the opposing party. Using longitudinal social networks from the social media platforms Twitter and Reddit, we investigate the relative contributions of positive (attractive) and negative (repulsive) forces among political elites and the public, respectively. Our goals are to disentangle the positive and negative forces within and between parties and explore if and how they change over time. Our analysis confirms the existence of partisan polarization in social media interactions among both political elites and the public. Moreover, while positive partisanship is the driving force of interactions across the full periods of study for both the public and Democratic elites, negative partisanship has come to dominate Republican elites' interactions since the run-up to the 2016 presidential election.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
