Network Model Visualization

Abstract

Model visualization is a novel tool that can help us better understand advanced statistical analyses. In this talk, I’ll apply the principles of model-vis to social networks and their models. Some questions I propose to answer are, What exactly is the ‘data space’ of a social network and how can we view models for social networks in that data space? How can we explore multiple network models in a collection simultaneously? And, what visualizations are available to us to better understand the algorithms used to fit these often incredibly complicated models to an observed social network?

Date
May 5, 2017
Location
Oakland Scottish Rite Center
Oakland, CA
Sam Tyner-Monroe, Ph.D.
Sam Tyner-Monroe, Ph.D.
Managing Director, Responsible AI

I am an applied statistician and data scientist, with a wide range of skills and experiences. I’m passionate about using data to make a difference.

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