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Category: Project

Description: Temporal network analyses are relatively recent, as the methodology required to compute network analyses on time series data was only recently developed (Bringmann et al., 2013). The number of studies investigating temporal network dynamics has been steadily increasing, however, since this type of analysis allows a micro-level investigation into how variables interact with one another over time. Despite their potential, however, there are no accepted best practices for the data collection, methodology, and analyses related to temporal network analyses. For example, there is not yet an accepted standard regarding sample size or number of total timepoints, nor standard assumption checks for the analyses, nor ways to assess the stability and robustness of analyses, and so on. We plan to conduct a systematic review to carefully audit all the current methodological practices and analyses used for temporal network analyses, to potentially develop a set of guidelines for future studies.