Dynamic Network Analysis via Diffusion Multipliers

Research output: Working paperPreprint



Publication details

DateUnpublished - Sep 2021
Original languageEnglish


We develop new methods to understand the impact of shocks or policy interventions across a dynamic network, allowing the data to speak about the connectedness of nodes through the system diffusion multipliers. These are derived from a set of unusually heterogeneous spatial/temporal parameters, for which we show that estimates consistent at the required parametric rate can be easily found. Our techniques are applied to a novel dataset of civilian casualties due to armed violence in post-invasion Iraq, where we find evidence consistent with the use of violence as a means to maintain influence in the nascent political institutions as well in reprisal for past acts.

Discover related content

Find related publications, people, projects, datasets and more using interactive charts.

View graph of relations