Methods Workshop

Department of Political Science Columbia University

Grad student led series introducing various applied statistical and formal methods and topics in statistical computing. Our primary constituency is comprised of PhD students and faculty in the political science department at Columbia. All CU-affiliated graduate students and faculty are also welcome. Individuals not currently affiliated with CU who wish to attend should contact the coordinators in advance.

2018-2019 Coordinators:
Simone Paci
Jose Gomez


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Social Network Analysis

Social Networks Python
07 Oct 2016

Presenter: Jeff Jacobs

Plan

Now that we have got our Python distribution installed, this week we will take a look at NetworkX, a Python library designed for easy creation, analysis, and visualization of network structures. Along the way we’ll learn more broadly useful Python “tricks” and data manipulation techniques, so hopefully you can get a lot out of it even if you never end up doing network analysis!

Setup Instructions

  1. Follow the setup instructions from last week, if you haven’t already
  2. Use the pip (or pip3 if you use python3) utility to install networkx (pip install networkx or pip3 install networkx, respectively) and matplotlib (pip install matplotlib or pip3 install matplotlib) from your terminal.
  3. Download Gephi from https://gephi.org/

All of the materials for this week are within this Dropbox folder. We will be going through NetworkX_Tutorial.pdf and examining/running/editing the code examples (basic_network.py and country_network.py) throughout.

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