Temporal fidelity in dynamic social networks

摘要: It has recently become possible to record detailed social interactions in large systems with high resolution. As we study these datasets, human display patterns that emerge at multiple time scales, from minutes months. On a fundamental level, understanding of the network dynamics can be used inform process measuring networks. The details measurement are particular importance when considering dynamic processes where minute-to-minute important, because collection physical proximity temporal resolution is difficult and expensive. Here, consider proximity-interactions between approximately 500 individuals participating Copenhagen Networks Study. We show order accurately model spreading network, occur on essential must included analysis.