[Baypiggies] Meeting this Thursday: Statistical analysis of complex networks using NetworkX with applications

[Lisa Bang]

A link to the data and Jupyter notebook file for the slides from
yesterday's presentation is below:

https://github.com/lisabang/networkx_examples

Thanks so much!

Best,
Lisa Bang


On Mon, Oct 21, 2019 at 6:21 PM Jeff Fischer <jeffrey.fischer at gmail.com>
wrote:

> *Please join us for an exciting meeting!*
>
> *Speaker: *Lisa Bang
>
> *Time: *Thursday October 24th 7 pm to 9 pm
> *Location:*  LinkedIn Corporation,
>                  Unify Meeting Room
>                  950 West Maude Ave, Sunnyale, CA
> <https://goo.gl/maps/3Z3hH8XZYeefa9b56%5D>
>
> *RSVP:*  To help us get an idea of attendance, please RSVP on MeetUp.com
> here <https://www.meetup.com/BAyPIGgies/events/264597580/>.
>
> *Abstract*
>
> Networks can be used to model many types of relations and processes in
> physical, biological, social and information systems. Many practical
> problems can be represented by networks, also called graphs. This tutorial
> will first go over the basic building blocks of graphs (nodes, edges,
> paths, etc) and common methods to get data structures into
> NetworkX-compatible format. Then, we can solve common problems like
> shortest-path on a real graph, and less common ones, like implementing
> PageRank on a directed network to get PageRank of each node in the network.
>
> Speaker Bio
>
> Lisa is a Data Scientist at Lagrangian.io, a startup focused on the use of
> Terraform modules for backend services optimization. Previously, she was a
> bioinformatician with Geisinger Health System working on large-scale
> genomics applications related to human health outcomes. She earned her MS
> in Bioinformatics at SoongSil University in Korea where she worked on
> chemical analysis methods for simulated chemical structure (QSAR/QSPR) in
> Python.
>
>
> *Website:* http://baypiggies.net
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