Network Analysis for Financial Markets

Research project that focuses on observing the Resilience of Delhi Road Networks to Traffic Disruptions

This repository contains FDP'18 presentations and R scripts.

Program performs social network analysis on more than 200 Twitter users.

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.

Degree distribution and log-log degree distribution for datasets + calculating average clustering coefficient, average degree and average shortest path for datasets.

This repository is adapt from the course materials for Honors Engineering Analysis at Northwestern University. The course is designed for Engineering first-year undergraduate students to learn about linear algebra and its applications.

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 "Analysis of Information Networks" repository contains six exercises that explore key concepts in network analysis. From random network generation to link prediction and recommender systems, each exercise provides hands-on experience with metrics, visualizations, and real-world applications.

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

Methods for generating directed simple graphs with a prescribed degree sequence

🛜 📊 Social Network Analysis

Fitting and model checking a dynamic model for directed scale-free networks on a bitcoin network dataset.

Deliverables relating to the Web Intelligence University Unit