Social media networks have revolutionized the way users interact and express their opinion. Obviously, identifying opinion leaders has a widespread applicability. For instance, by detecting leaders, companies can manipulate the public opinion. However, this task is challenging due to the complexity and the ceaseless change of the social networks structure. Yet, existing opinion leaders 'detection methods have essentially focused on static social graphs neglecting the temporal characteristics. Therefore, the necessity of identifying opinion leaders seems to be more and more crucial. In this context, we present a new approach for detecting opinion leaders based on analyzing online community interactions and dealing with the dynamic aspect of social networks. The experiments are performed on real data and the comparison of the proposed approach with commonly used approaches showed a good performance.

中文翻译：

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动态社交网络中意见领袖的检测

社交媒体网络彻底改变了用户互动和表达意见的方式。显然，识别意见领袖具有广泛的适用性。例如，通过检测领导者，公司可以操纵舆论。然而，由于社交网络结构的复杂性和不断变化，这项任务具有挑战性。然而，现有意见领袖的检测方法本质上都集中在静态社交图上，而忽略了时间特征。因此，识别意见领袖的必要性似乎越来越重要。在这种情况下，我们提出了一种基于分析在线社区互动和处理社交网络动态方面来检测意见领袖的新方法。