fauci-email: a json digest of Anthony Fauci's released emails

TL;DR

This paper presents a structured JSON resource derived from over 3000 pages of emails by Anthony Fauci, enabling future research into COVID-19 response and organizational behavior analysis.

Contribution

It introduces a JSON-formatted dataset from Fauci's emails and demonstrates analysis methods like clustering and network modeling for studying organizational dynamics.

Findings

Successful organizational partitions using mincut techniques

Differences between normalized cut and minimum conductance sets

Identification of hierarchical groups via modularity clustering

Abstract

A collection of over 3000 pages of emails sent by Anthony Fauci and his staff were released in an effort to understand the United States government response to the COVID-19 pandemic. We describe how this email data was translated into a resource consisting of json files that make many future studies easy. Findings from our processed data include (i) successful organizational partitions using the simple mincut techniques in Zachary's karate club methodology, (ii) a natural example where the normalized cut and minimum conductance set are extremely different, and (iii) organizational groups identified by optimum modularity clusters that illustrate a working hierarchy. These example uses suggest the data will be useful for future research and pedagogical uses in terms of human and system behavioral interactions. We explain a number of ways to turn email information into a network, a hypergraph, a temporal sequence, and a tensor for subsequent analysis as well as a few examples of such analysis.