PySpark Algorithms Book: https://www.amazon.com/dp/B07X4B2218/ref=sr_1_2
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Updated
Jan 3, 2020 - Python
PySpark Algorithms Book: https://www.amazon.com/dp/B07X4B2218/ref=sr_1_2
Collection of Databricks and Jupyter Notebooks
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 …
A Pyspark implementation of the CNGF Algorithm used for Link Prediction
Analysis of Etherum contracts, transactions, gas, scams and scammers' graph
Community detection Based on Girvan-Newman Algorithm
Top-k Most Probable Triangles in Uncertain Graphs
Old repo for R interface for GraphFrames
EECE 5645 Project: Performing community detection on Reddit Hyperlink network dataset and leverage the power of Spark and GraphFrames
Spark and Anaconda in Docker
Examples on using GraphFrame functionality with Spark 2.2
Hybrid Girvan Newman. Code for the "A Distributed Hybrid Community Detection Methodology for Social Networks" paper.
Sprouter: Dynamic Graph Processing over Data Streams at Scale
DeepGraph supports a 360° view on graph technology and supports analytics, storage and visualization.
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.
Data manipulation, optimal prediction with ALS and communities detection with Newman-Girvan algorithm
hadoop (GFS)、mapreduce programming model、prestro、apache spark etc
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