Network-Gephi

Analyse the Apple website interaction with other websites.
The objective of this Project is to develop a visualize and analyze large networks using Gephi. This project focuses on the relationship between websites. Here we would be emphasizing on the association of Apple with other websites and with itself.
I used Gephi, Gephi is an open source software for network visualization. It can read many file formats including Gephi, GEXF, GML, GDF, CSV and many others Before starting with Gephi, we should familiarize ourselves with 2 terms, one being the Node & the other Edge.
Node: A node is a unique identifier of an object within a data set.
Edge: An edge is a line that connects two nodes
In order to import data from excel or csv file into Gephi, you will usually need to prepare following 2 files:
Node File – Containing the nodes and its attributes
The node file must include a column having name ‘ID’
ID column should contain unique entries
Edge File – Containing the edges and its attributes
The edge file must include columns with name ‘Source’ & ‘Target’ which contains the start and the end nodes for each edge
Steps:
Create nodes and their relationships
Create relationship strength between 2 nodes.
Clustering based on websites (algorithm Fruchterman Reingold )
Clustering based on Industry (algorithm Yifan Hu )
Clustering based on Internal or External Linkage (algorithm Yifan Hu Proportional)
4
Please download the CSV file for the website addresses.


CSV File

Gephi: JavaScript GEXF Viewer

Search the node code for more information.