Social Network Analysis: Calculating Degree with Gephi

In continuation to my earlier post on creating a Simple social network analysis using Gephi on the simple friends network. We will focus on the terminology “Degree” related to the Social Network Analysis in this post. In the previous example I used to Edge List in a CSV format to import the data to Gephi to obtain this social network which is very simple.

Degree:

Degree is the edges incident on a node. According to Wikipedia, The degree of a node in a network (sometimes referred to incorrectly as the connectivity) is the number of connections or edges the node has to other nodes.

In this outcome are social network diagram you can see Siva has more number of Degrees which can be looked from the gephi as given in below given screenshot.

This shows the following attributes of Siva:

In-Degree: 4 (Vijay, Gopikrishna, Aditya, Kumar) – Head End Points at the Node

Out-Degree:7 (Ilango, Ramesh, Kannan, Aditya, Kumar, Vijay and GopiKrishna) – Tail End points at the Node

Degree: 11

According to Wikipedia, For a node, the number of head endpoints adjacent to a node is called the indegree of the node and the number of tail endpoints adjacent to a node is its outdegree.

Degree Distribution:

The degree distribution displays the count of nodes with the appropriate distribution. This example there are 3 nodes with the degree of 4 and one node with degree 1.

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