Repository for my applied mathematician master thesis
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Updated
Jun 17, 2015 - C++
Repository for my applied mathematician master thesis
Code used for the paper "Node and layer eigenvector centralities for multiplex networks", Tudisco, Arrigo, Gautier, SIAM J. Appl. Math 2017
This repository contains FDP'18 presentations and R scripts.
Apache Hadoop implementations of algorithms in https://doi.org/10.1007/s12046-015-0425-z
Complex social network analysis
Social Network Analysis using Github API data, uses cosine similarity to recommend pairs of collaborator users
CS544 Assignments
This project conducts graph mining using R. First it computes the minimum spanning tree and some classical graph mining statistics (density, length, reciprocity, etc). It then builds some centrality measures.
R code for NetworkCentralityCalculator. A web-tool with 5 different centrality measures. LaTex and pdf for documentation and explanation of different measures with a focus on "dependency centrality".
This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data program; Social Network Analysis course.
Assignments for the Course Social Computing (CS60017) [IITKGP]
Teaching material that I prepared as a TA for the laboratories of the Network Dynamics and Learning course for the MSc in Data Science and Engineering at Politecnico di Torino.
This repository experiments with the properties of different networks represented as graphs as well as dimension-order routing in three popular interconnection network topographies.
youtube trending videos dataset. exploratory data analysis.
An open-source street network and 2019 ACS analysis of the SoCal EVCS system
This assignment is class assignment 4 for the language analytics class at Aarhus University, 2021.
A command-line GPU-accelerated application for computing centrality metrics of sparse graphs that represent social networks.
DEBS 2021: Graph Stream Analytics tutorial
Network analysis of Game of Thrones
This respository contains code for street network analysis of London based on centrality metrics, to investigate the potential implementation of the superblocks model.
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