Detection of influential actors in social media such as Twitter or Facebook plays an important role for improving the quality and efficiency of work and services in many fields such as education and marketing. The work described here aims to introduce a new approach that characterizes the influence of actors by the strength of attracting new active members into a networked community. We present a model of influence of an actor that is based on the attractiveness of the actor in terms of the number of other new actors with which he or she has established relations over time. We have used this concept and measure of influence to determine optimal seeds in a simulation of influence maximization using two empirically collected social networks for the underlying graphs. Our empirical results on the datasets demonstrate that our measure stands out as a useful measure to define the attractors comparing to the other influence measures.

中文翻译：

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检测社交媒体网络中的强吸引子。

检测 Twitter 或 Facebook 等社交媒体中的有影响力的参与者对于提高教育和营销等许多领域的工作和服务的质量和效率起着重要作用。此处描述的工作旨在引入一种新方法，该方法通过将新的活跃成员吸引到网络社区中来表征参与者的影响力。我们提出了一个演员的影响力模型，该模型基于演员的吸引力，即他或她随着时间的推移与之建立关系的其他新演员的数量。我们已经使用这个概念和影响测量来确定最佳种子，以模拟影响最大化，使用两个经验收集的社交网络作为基础图。