Network Analysis for Financial Markets
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Updated
Jul 29, 2017 - Jupyter Notebook
Network Analysis for Financial Markets
Program performs social network analysis on more than 200 Twitter users.
This repository contains FDP'18 presentations and R scripts.
Fitting and model checking a dynamic model for directed scale-free networks on a bitcoin network dataset.
The Preferential Deletion Model with Changing in Existing Connections (PDCModel) is an extension of the discrete-time random graph generation process described by Narsingh Deo and Aurel Cami in 2005. This new model accounts for changes in existing edges for every unit of time, representing the behavior of social circles more accurately. 2020.
The Preferential Deletion Model (PDModel) is an implementation of the original discrete-time random graph generation process described by Narsingh Deo and Aurel Cami. 2020.
Boston University DS210 Final Project
Research project that focuses on observing the Resilience of Delhi Road Networks to Traffic Disruptions
Degree distribution and log-log degree distribution for datasets + calculating average clustering coefficient, average degree and average shortest path for datasets.
This repository studies the pandemic spread on the flight network using network science techniques. It identifies key airports that are critical for controlling the spread of a disease and uses a spreading simulator to illustrate disease spread. The report aims to inform the design of effective intervention strategies for future outbreaks.
Methods for generating directed simple graphs with a prescribed degree sequence
🛜 📊 Social Network Analysis
Deliverables relating to the Web Intelligence University Unit
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