Complex Systems Summer School 2017-Tutorials

Nonlinear Time Series Analysis using Empirical Dynamic Modeling (EDM)

Hey all, I've done some work with non-linear time series analysis using empirical dynamic modeling (Sugihara et al., 2012). If anyone is interested in these approaches, I'd be happy to give a tutorial on the R EDM package that can be used to look for 1. nonlinearity in time-series, 2. causality between variables, and 3. optimizing combinations of system variables to create "equation-free mechanistic models". I've used this method looking at marine phytoplankton time-series, combining several species and environmental variables. The final product was messy, but helped identify important system variables in ecosystems :)

References:

Online walk-through of the R EDM package [1]!

• Sugihara, George et al. “Detecting Causality in Complex Ecosystems.” Science 338.6106 (2012): 496–500. Web.
• Ye, Hao et al. “Equation-Free Mechanistic Ecosystem Forecasting Using Empirical Dynamic Modeling.” Proceedings of the National Academy of Sciences 112.13 (2015): E1569–E1576. Web.

Interested Participants:

• Zhiya Zuo. Thanks for this! Is there a desired time/location?
```--> No plan for a time/location yet...I'm waiting to see if there is enough interest. I would be happy to do this whenever.
```
• Kayla Sale
• Jake Weissman
• Ximo Pechuan
• Markus Junginger
• Alicia Kraay
• Kyle Lemoi
• Anand Nair
• Carla Rivera
• Ramona Roller
• Tim Kunisky
• Marco Pangallo
• Hilje Doekes
• Spencer Fox
• Shanee Stopnitzky - I wrote a little condensed version of a tutorial for this package that I can send around
• Shing Zhan
• Katarina Mayer
• Rachel Gicquelais
• Elaine Bochniewicz
• Mark
• Stefan

Network Analysis with Python - igraph

Hi guys, Today I'm gonna give a quick tutorial on network analysis with Python. My library of choice is igraph because it's a good balance between performance and simplicity compared to other libraries. Thu Jun 22 - 7pm - lecture hall Since the library has some dependencies, I recommend you installing Docker

Once you have it installed and running, we're going to use a docker container I created for network analysis. You'll have to run the two commands bellow from the terminal/prompt.

docker pull hsbarbosa/network-science

docker run -ti -p 8888:8888 -v "\$PWD":/home/me hsbarbosa/network-science