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vcies2020_network-analysis's Introduction

vCIES2020

Network analysis and visualization workshop for the vCIES2020

By Byoung-gyu Gong (Arizona State University)

This repository is for the Network analysis and visualization workshop organized at the Virtual Annual Conference of Comparative and International Education Society 2020 (vCIES 2020) in April, 2020.

This repository includes Lecture Videos, igraph R script & data files, and Gephi data files.

1. Lecture Videos

There are two lecture videos for this workshop. The first video includes theory part of my lecture and the second video file is for the practice of the igraph and Gephi with the data files.

There are two links for the video clips here bellow:

vCIES 2020 Network Analysis Workshop: Session1. Theory

vCIES 2020 Network Analysis Workshop: Session2. Practice

Please be aware that the video files are not downladable and sharing with the others without a permission is prohibited. This video will be accessible to general public from June 2020 through my Youtube channel and personal website.

2. igraph R script & data files

In this folder there is one R script for the igraph network analysis. You can download this R script to your R Studio and follow instructions of my lecture video vCIES 2020 Network Analysis Workshop: Session2. Practice.

For the igraph analysis, there are two data sets from the study of Gemnetto, Barrat, & Cattuto (2014) titled as Mitigation of infectious disease at school: Targeted class closure vs school closure, which studied the infection network at the primary school. You can also find the data of this study from Sociopatterns. It is the open source network data platform readily available for any type of studies and researches.

  • Gemmetto, V., Barrat, A., & Cattuto, C. (2014). Mitigation of infectious disease at school: targeted class closure vs school closure. BMC Infectious Diseases, 14(1), 736โ€“10. http://doi.org/10.1186/s12879-014-0695-9

Why I chose this data set?: I chose this data set because of the recent outbreak of COVID-19. By using school infection network data set, I'd like to show you how effective the network data analysis is for the school related student's network analysis in a massive scale. Also, I thought that the infection network data will give you a good motivation with high relevance to our new mode of daily life ruled by social distancing and contact tracing.

How to download the data file for the analysis?: I will guide you to download the csv file data sets directly to the R Studio in my video lecture, but if you'd like to download this file and load it in the R Studio manually, you can get this file at bellow links:

Node list

Edge list

The practice session of the network analysis using igraph will create network visualizations as below. The picutres are created object during the lecture recordings and this class will guide you to create excatly the same object through the lecture.

3. Gephi data files

The lecture using Gephi for the network data analysis will also use the same data set with the igraph. Please download the data sets from the above links.

The picutre at below is one of the captures of the video recorded for the Gephi practice session by the lecturer.

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