Urias-T / LinkedIn_Analysis

An analysis of my LinkedIn connections. and using NetworkX and Pyvis for visualization.

This is an Ananlysis Carried out on my LinkedIn Profile Connections.

Date of Data Collection: 11th August, 2022 at 08:43hr (WAT)

Data Source: https://www.linkedin.com/

Summary:

The data was gotten directly from my LinkedIn account on the above mentioned date. The .csv file downloaded had a shape of (723, 6) implying that at the time of data collection, I had a total of 723 connections. After data cleaning, I enged working with only 674 of my connections.

I used the NetworkX Python package to create the network graph and the Pyvis network to the graph and make it interactive.

Conclusion:

Insight 1: 9 of my connections have no names. This is strange.

Insight 2: A good majority of my connections didn't include their email addresses on their profile. Not encouraged.

Question: How could there be connections with no names? Could those represent deleted accouunts?

Insight 3: I joined LinkedIn in 2015. This was first year in Covenant University. I believe it had something to do with the inspirational people I met in the Technical Crew service Unit.

Insight 4: First spike of connection activity in 2018. This should be because I was trying to get an internship ooportunity around that time.

Insight 5: Second spike of connection activity in 2020. Convocation and job search.

Insight 6: Third spike of connection activity, 2022. Job search and connection to learn more and add value to myself and those I connect with.

Insight 7: Most of my connections are from Covenant University. Makes sense as I spent 5 years of my life interacting wth these people and that community was a major force for my joining and being active on LinkedIn.

Insight 8: Most of my connections are interns. I should work on that.

Data Features:

• First Name: This is the first name of the connection.
• Last Name: This is the last name of the connection.
• Email Address: This is the email address of the connection.
• Company: This is the company of the connection as at the time of data collection.
• Position: This is the position occupied by the connection as at the time of data collection.
• Connected On: This is the date I connected with the individual.

Acknowledgement:

• I would like to acknowledge the medium article that inspired this project.

• I would also like to acknowledge "Thu Vu data analytics". It was while watching this YouTube video that I saw the above mentioned article.

My LinkedIn Profile: Urias, Triumph