Analyzing The Trumpworld Graph: Applying Network Analysis to Public Data

We've invited William Lyon, one of the most requested speakers at the Data Day conferences, to visit Seattle and share his latest talk. This is going to be a good one. Special thanks to the folks at Context Relevant (https://www.contextrelevant.com/) for hosting this meetup.

The Story

A few weeks ago BuzzFeed released a public dataset (https://www.buzzfeed.com/johntemplon/help-us-map-trumpworld)of people and organizations connected to Donald Trump and members of his administration. As they say in their blog post (https://www.buzzfeed.com/johntemplon/help-us-map-trumpworld)announcing the data:

No American president has taken office with a giant network of businesses, investments, and corporate connections like that amassed by Donald J. Trump. His family and advisers have touched a staggering number of ventures, from a hotel in Azerbaijan to a poker company in Las Vegas.

In this meetup we will show how to import this data into Neo4j, write Cypher queries to find interesting connections and visualize the results using Neo4j Browser.

In addition, we will show how to add public data from USASpending.gov on government contracts and campaign finance from the FEC, allowing us to answer questions like:

How are members of the Trump administration connected to vendors of government contracts?

Who are the most influential people in the network and how are they connected to Trump?

Bring a laptop if you'd like to follow along or just watch as we cover importing the data and writing queries to apply network analysis concepts.

About the speaker

William Lyon (https://lyonwj.com/) is a software developer at Neo4j (http://neo4j.com/), the open source graph database. As an engineer on the Developer Relations team, he works primarily on integrating Neo4j with other technologies, building demo apps, helping other developers build applications with Neo4j, and writing documentation. Prior to joining Neo, William worked as a software developer for several startups in the real estate software, quantitative finance, and predictive API fields. William holds a Masters degree in Computer Science from the University of Montana. You can find him online at lyonwj.com (https://lyonwj.com/)

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Agenda

6:30 - Meet and Greet / Networking
7:00 - Announcements and Featured Talk
8:30 - Adjourn to pub