My analysis of the statistics blogosphere for the Coursera Social Networking Analysis class is up. The Python code and the data are up at my github repository. Enjoy! Included are most of the Python code I used to obtain blog content, some of my ...
My analysis of the statistics blogosphere for the Coursera Social Networking Analysis class is up. The Python code and the data are up at my github repository. Enjoy! Included are most of the Python code I used to obtain blog content, some of my ...
This was generated during my social network analysis project. I haven’t finished yet, but I did want to show the cute picture. The statistics blogosphere is like a school of jellyfish.
So, I decided to construct the linking graph through blogrolls, and finally settled on using a manual process. The best part of this project is really finding out for myself all the great content out there!
I’ve been taking several classes through Coursera (nothing against the other platforms; I took two of the original three classes via Stanford and just stuck with the platform). The latest one is Social Network Analysis, which has a programming projec...
I’ve been playing with the igraph package a bit lately (see previous post HERE) and wanted to approach a problem I once visited in the past. The basic gist of the problem is this: Students in a class are asked … Continue reading →
by Yanchang Zhao, RDataMining.com This post presents an example of social network analysis with R using package igraph. The data to analyze is Twitter text data of @RDataMining used in the example of Text Mining, and it can be downloaded … Continue reading →
By Yanchang Zhao, RDataMining.com If you have tried social network analysis or graph mining with R, you might have already come across package igraph before. The package is designed for graphs and network analysis in R. It can handle large … Continue reading →
