发表机构
IMT School for Advanced Studies Lucca; Institut Polytechnique de Paris; University of Salerno（IMT卢卡高级研究学院; 巴黎理工学院; 萨勒诺大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究基于Friedkin-Johnsen模型提出框架，通过初始观点操纵实验识别社交网络中的有影响力用户，验证其对整体社区观点及多级邻居的显著影响。
AI 中文摘要
研究观点动态及其在社交网络中的传播对于解决一系列挑战至关重要，这些挑战包括政治极化、公共卫生和营销策略。在本工作中，我们通过提出一个基于Friedkin-Johnsen (FJ)模型的框架来研究观点动态问题，该框架用于识别有影响力的用户并研究他们对社区动态观点的影响。FJ模型假设每个个体拥有两种观点：初始观点和表达观点。通过一系列初始观点操纵实验，所提出的框架评估了有影响力用户与随机用户对整体社区观点的影响。该框架使用代表美国大选的推文数据集进行验证。结果表明，具有最高影响力得分的影响者显著地改变了整体社区观点。此外，结果还表明，影响者的影响不仅限于直接邻居，还扩展到其邻居的邻居。本研究展示了社交媒体上的数字影响者如何塑造公众对某一主题或事业的舆论。
英文摘要
The studying of opinion dynamics and its propagation within social networks is crucial for addressing a wide range of challenges, including political polarization, public health, and marketing strategies. In this work, we study the problem of opinion dynamics by proposing a framework based on Friedkin-Johnsen (FJ) to identifies influential users and study their impact on dynamics opinions of community. The FJ model assume each individual have two opinions: initial and expressed. Through a series of initial opinion manipulation experiments, the proposed framework assesses the impact of influential versus random users on the overall community opinion. The proposed framework is validated using a tweet dataset representing the U.S. presidential election. The results shows that influencers with highest influencing score, significantly shift the overall community opinion. Moreover, the results shows that the impact of influencers not limited to direct neighbors , but beyond it, to their neighbors of neighbors . This study demonstrates how digital influencers on social media can shape public opinion regarding a subject or cause.
DOI：10.1007/978-3-031-94959-3_9
