PySpark Algorithms Book: https://www.amazon.com/dp/B07X4B2218/ref=sr_1_2

R Interface for GraphFrames

Hybrid Girvan Newman. Code for the "A Distributed Hybrid Community Detection Methodology for Social Networks" paper.

Collection of Databricks and Jupyter Notebooks

Old repo for R interface for GraphFrames

Analysis of Etherum contracts, transactions, gas, scams and scammers' graph

A Pyspark implementation of the CNGF Algorithm used for Link Prediction

Criação de Grafos com a bilbioteca GraphX do Spark e GraphFrames

A project which involves analysis of Authorship graph data from Microsoft academic graph. In this project we calculate different graph features using temporal parameters of the authors and tried different classifiers. The final aim is to predict the link or coauthorsip possibility between two authors based on topological graph features and also …

Presentation about Graphframes and how we handle graphs with more than 2 billion nodes at Hybrid Theory

DeepGraph supports a 360° view on graph technology and supports analytics, storage and visualization.

Spark and Anaconda in Docker

Community detection Based on Girvan-Newman Algorithm

Graph analytics for telecom customer churn prediction

DS104.N11 - Tính Toán Song Song & Phân Tán

USC DSCI 553 - Foundations & Applications of Data Mining - Spring 2024 - Prof. Wei-Min Shen

Examples on using GraphFrame functionality with Spark 2.2

Data manipulation, optimal prediction with ALS and communities detection with Newman-Girvan algorithm

Influencer detection on Twitter and real-time current trend analysis using twitter4j and Spark

Objectives: Using pyspark, MLlib and graphframes libraries, perform 1) classification and custering tasks using RandomF and Kmeans and 2) graph analysis tasks. This material is from UIUC MCS coursework.