In social networks, factors that influence the spread of information are essential for companies to comprehend. This study uses the opinion dynamic theory to investigate the influence of multiple advertisement opinion leaders in social networks. We construct an integrated bounded confidence model to simulate the evolution of followers’ opinions under two advertisement opinion leaders. Through experimental simulation, we found that the weight of influence on advertisements has a dual effect on the evolution of followers’ opinions, and the probability that information is transmitted by opinion leaders has a significant impact on the evolution of collective opinions. The results show that, for competitive products, companies should properly understand the propaganda power of product advertisements and improve the probability of information being successfully transmitted by opinion leaders.

在社交网络中，影响信息传播的因素对于企业来说是必不可少的。本研究使用意见动态理论来研究社交网络中多个广告意见领袖的影响。我们构建了一个集成的有界置信模型来模拟两个广告意见领袖下追随者意见的演变。通过实验模拟，我们发现广告影响力的权重对追随者意见的演变具有双重影响，意见领袖传递信息的概率对集体意见的演变有显着影响。结果表明，对于竞争产品，