Escuela de Ingeniería y Ciencias, Tecnologico de Monterrey, Estado de México, Mexico.
Enterprise Science and Engineering Division, Stevens Institute of Technology, Hoboken, NJ, USA.
Risk Anal. 2017 Aug;37(8):1566-1579. doi: 10.1111/risa.12788. Epub 2017 Mar 17.
Social networks are ubiquitous in everyday life. Although commonly analyzed from a perspective of individual interactions, social networks can provide insights about the collective behavior of a community. It has been shown that changes in the mood of social networks can be correlated to economic trends, public demonstrations, and political reactions, among others. In this work, we study community resilience in terms of the mood variations of the community. We have developed a method to characterize the mood steady-state of online social networks and to analyze how this steady-state is affected under certain perturbations or events that affect a community. We applied this method to study community behavior for three real social network situations, with promising results.
社交网络在日常生活中无处不在。尽管社交网络通常从个体互动的角度进行分析，但它也可以提供有关社区集体行为的见解。已经表明，社交网络情绪的变化可以与经济趋势、公众示威和政治反应等相关。在这项工作中，我们从社区情绪变化的角度研究社区弹性。我们开发了一种方法来描述在线社交网络的情绪稳态，并分析在某些影响社区的干扰或事件下，这种稳态是如何受到影响的。我们将这种方法应用于研究三个真实社交网络情境中的社区行为，结果令人鼓舞。
