# Step by Step Social Network Analysis using Gephi: Getting Started

In continuation to my previous blog post on Social Network Analysis using Gephi, I’m writing this post to explain how do create a very simple social network analysis using Gephi. You can also look at a very good introduction to Gephi written by Martin Grandjean here

Goal and Scenario:

We have a friends network we want to depict visually how the friends are interconnected with each other. The goal is to understand how to use Gephi Step by step along with having very fundamental understanding of how the data is represented.

Pre-Requisites:

* You would need the Gephi software which you can download from here.

* Data to be imported

* Fundamental understanding of what is a Graph, Node and Edge. (Please read more here (https://en.wikipedia.org/wiki/Graph_(mathematics)). To understand more visually please refer to this link.

Step by step Instructions:

Step 1: After you install Gephi, you will see a screen like this. Click New Project.

Step 2: In this example we are going to import that data from CSV files and we are going to use them for ease of use. Once you click New Project you will get the following Screen, then click Data Laboratory for importing data.

Step 3: Once you Open the Data Laboratory pane now you click Import Spreadsheet. First import the as table: “Nodes table” with browsing the Friends.csv. Then click next and Finish.

Which will result like the following once you click the finish button.

Step 4: Now you again click Import Spreadsheet. First import the as table: “Edges table” with browsing the Edges.csv. Then click next and Finish.

The results will be available once you click on the Edges in the Data Table as given below:

Steps 5: Now when you click the overview button right below the toolbar you can see the following network diagram created.

Red highlighted portion tells us that it has 8 Nodes and 15 Edges.

Step 6: We can use the Layouts to make it look little better using the Force Atlas 2 and Label Adjust to look clean and better.

We will try to get into more details in the next post with a different example.