This paper analyses whether the audience dynamics of one content provider can explain the audience dynamics of a different content provider, and the resulting network of connections among providers. The type of connections in this network determines whether the audience of one creator influences or is susceptible to other creators’ audience. Granger causality networks are applied to prestigious universities that provide online videos on YouTube and the structure of the Audience Dynamics Network is described. This network presents an unbalanced degree distribution and a core-periphery structure. The centrality of the universities in the network is discussed and universities with influential and susceptible roles are identified. We find that audience connection is determined by the differences in the online video impact between each pair of universities. Centrality in the network is associated with university prestige, but this relation is mediated by online video impact.

本文分析了一个内容提供商的受众动态是否可以解释不同内容提供商的受众动态，以及由此产生的提供商之间的联系网络。该网络中的联系类型决定了一个创作者的观众是影响其他创作者的观众还是容易受到其他创作者的观众的影响。格兰杰因果网络应用于在 YouTube 上提供在线视频的著名大学，并描述了受众动态网络的结构。该网络呈现出不平衡的度分布和核心-外围结构。讨论了网络中大学的中心地位，并确定了具有影响力和易感角色的大学。我们发现观众的联系是由每对大学之间在线视频影响的差异决定的。网络中的中心性与大学声望有关，但这种关系是由在线视频影响介导的。