daniel-bodden / social-graph-analytics-with-r-shiny

Community detection, shortest paths, graph statistics, graph pruning

Social Graph Analytics with R-Shiny

A Rshiny App with the Graph Analytics on opensource datasets. The app was initially developed as a project for a University Course: Analysis of Large Scale Social Networks, KU LEUVEN, 2018. The app will be further extended with other interesting features.

The app consist of 4 modules:

• Graph Stats & Pruning
• Graph Visualizations
• Paths
• Community Detection

Installation

The following R packages need to be installed:

install.packages(shiny)
install.packages(igraph)
install.packages(visNetwork)
install.packages(dplyr)
install.packages(DT)
install.packages(plotly)

Running

Option 1:

• open app.r in Rstudio
• push "run" button
• the App will launch in a new window

Option 2:

• Deploy the App to a Rshiny Server
• The app can run on website

In the Pipeline for Future Development

To be added:

• [General] Improve layout of the App
• [General] Introduce a module development of the App
• [Graph Data] New module to upload datasets, prune data, ...
• [Graph Stats] Add power of Law
• [Community Detection] Find important nodes in communities
• [Community Detection] Find important nodes that link different communities
• [Community Detection] Add brokage information about the role of nodes in a community