Multiplex Network Analysis Public Transportation

University Project

Social Network Analysis Project

The paper associated to this project is available here

The Multiplex Class written in python is a nx.Graph wrapper for creating multi-layer networks and includes:

Tip: Our map can be modified using the draw icons in top-left corner and then exported as GeoJSON file through the export button

Error: The file cannot be viewed since has no escape character at the end of each line. Download it.

Name	Description
Numpy	package for scientific computing with Python.
Pandas	fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language.
Folium	folium builds on the data wrangling strengths of the Python ecosystem and the mapping strengths of the Leaflet.js library.
Os	this module provides a portable way of using operating system dependent functionality.
Json	the json library can parse JSON from strings or files.
Math	access to the mathematical functions defined by the C standard.
Random	pseudo-random number generators for various distributions.
NetworkX	package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
PowerLaw	package for Analysis of Heavy-Tailed Distributions
EmpiricalDist	library that represents empirical distribution functions.
Matplotlib	library for creating static, animated, and interactive visualizations in Python.
Plotly	graphing library makes interactive, publication-quality graphs.
Kaleido	cross-platform library for generating static images (e.g. png, svg, pdf, etc.) for web-based visualization libraries.
MPL Toolkits	matplotlib module for 3d plots.

Class	Description
`ParisTransportation`	GeoJSON preprocessing
`MapMaker(ParisTransportation)`	Nodes map creation
`TransportMap`	Public transport line creation + road network
`Multiplex`	Thin nx.Graph wrapper for multi-layer networks
`LayeredNetworkGraph`	3D plot using GraphViz of public transport networks