ODSC: Analyzing Complex Networks Using Open Source Software

I’ll be presenting at the 2016 ODSC East event in Boston May 20-22. ODSC stands for Open Data Science Conference, where the focus is on using open data or open source tools to do clever things in the information space. The topic of my presentation is Analyzing Complex Networks Using Open Source Software, where I’ll talk through several example networks built using Gephi and Sigma.js.

While the slides are not all prepared at this stage, I’ll share a few bits that will wind up in the talk. My goal is to convey to the audience how networks can be used to statistically and visually understand complex information. After providing an overview of network analysis (at a very high level), I’ll be sharing slides from three very different networks – a Miles Davis album network (created in 2014 and rebuilt in 2016), a Boston Red Sox player network (also built in 2014), and a brand new example using data from the amazing GDELT Project.

Here’s a glimpse into what I’ll be sharing, starting with the Red Sox examples, where we examine the networks of three well known players from the last 100 years. First, Ted Williams network:

odsc_williams

Followed by Carl Yastrzemski:

odsc_yaz

Now Jason Varitek, longtime catcher and captain for two World Series championship teams:

odsc_varitek

In talking through each of these networks, I will attempt to highlight some differences in their respective structures based on the era in which each player spent time with the Red Sox. For example, there are many more connections in the Varitek network compared to Williams and Yaz, despite a shorter duration with the team. Why would this be the case? Perhaps spending time in the era of higher salaries, larger pitching staffs, and the evolution of free agency might go a long way towards explaining why Jason Varitek crossed paths with far more players than did his earlier predecessors.

Stay tuned for additional posts featuring the Miles Davis and GDELT networks.

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kc2519

kc2519

Ken Cherven is the Founder and Curator of the Visual-Baseball.com website. He loves to merge baseball data with all sorts of visualization methods - charts, network graphs, maps, etc. to provide greater insight into underlying data patterns. Ken also authors books about baseball and visualization, and loves to listen to jazz while drinking some wine, craft beer, or bourbon.