论文标题
在线社交网络用户的意见动态：微观分析
Opinion Dynamics of Online Social Network Users: A Micro-Level Analysis
论文作者
论文摘要
在本文中，我们介绍了大量在线社交网络用户样本的意见动态的实证研究。我们根据用户对信息源的订阅来估计用户作为连续标量的意见，并分析友谊联系如何影响这些估计的动态。区分积极的意见（远离朋友的意见）观点转变，我们发现，观点转移的存在和幅度是正相关的（很大程度上是通过线性形式或倒置的U形式），以与用户与朋友之间的意见分歧程度。此外，我们使用意见分歧来调节正转移和负面转变之间的平衡：如果焦点用户及其朋友的意见太相似或不同，那么积极转变的机会相对较低。
In this paper, we present an empirical study of the opinion dynamics of a large-scale sample of online social network users. We estimate opinions of users as continuous scalars based on their subscriptions to information sources and analyze how friendship connections affect the dynamics of these estimations. Distinguishing between positive (toward opinions of friends) and negative (away from opinions of friends) opinion shifts, we find that the existence and magnitude of opinion shifts are positively related (largely through a linear form or an inverted U-shaped form) to the degree of divergence in opinions between user and their friends. Additionally, we moderate the balance between positive and negative shifts using opinion divergence: if the opinions of the focal user and their friends are too similar or dissimilar, there is a relatively low chance of a positive shift.
