Code used in the paper "Time Series Clustering via Community Detection in Networks"

Exploratory Principal Component Analysis

This repository contains FDP'18 presentations and R scripts.

Multilayer Network analysis of medulloblastoma patients

Detecting communities in Facebook ego-networks - Project for the "Statistical Analysis of Network Data" course by Eric Kolaczyk at ENSAE ParisTech (visiting professor from Boston University)

Graph Community Detection Methods into Systematic Conservation Planning

Data analysis on graph dataset built from twitter user data

Partition comparison measures for community detection

Social network analysis about the 'Ndrangheta organization, an Italian mafia gang.

Notes from a graduate level course in Network Analysis.

Social and Online Networks Analysis

A summary of the work done for the June 2021 FOSSEE Research Internship in R.

Community detection, shortest paths, graph statistics, graph pruning

Community Detection Analysis in Word Association Network using igraph R Library

Here I illustrate how GGM selection methods work better in network hub and cluster detection when the false discover rate (FDR) control is ignored.

An R package for consistent estimation of the number of communities via regularized network embedding.

Modified gap statistic (gap-com) for regularization selection of sparse networks. This method is aimed for complex network estimation.

Community detection algorithms package for R

Community detection in multilayer degree corrected stochastic block models

This assignment involves creating a temporal graph structure from Twitter data, exploring metrics over five days, identifying important nodes, and detecting communities. Deliverables include a concise report and source files with code.