When I Reached 40,000 Followers On LinkedIn, I Analyzed My Network Data

Today I reached 40,000 followers on LinkedIn. A big thank you to everyone who follows me and reads my articles and milestone reports! All of you are very valuable to me.

Over the past 6 years I've written over 400 articles and milestone reports on AI in healthcare. Many of my articles were inspired by pioneering AI scientists in my network. Some of the world's top AI scientists graciously share updates, study results, and significant findings so that I can write detailed articles about their research. This information gives me valuable insights into advances in AI in medical research. My ongoing 1-1 interactions with top scientists around the world would not be possible without my LinkedIn network.

Over 850 million people have LinkedIn profiles. Every time they connect with each other, update their profiles, join groups, post jobs, and generate content they create data that LinkedIn mines and analyzes. Back in 2016 I wrote an article entitled How LinkedIn Uses Machine Learning to Analyze Member Data describing how AI scientists at LinkedIn use machine learning to analyze member data for the?LinkedIn Knowledge Graph.

Source: LinkedIn

The LinkedIn Knowledge Graph (LKG) is based on user data including companies, titles, skills, geographic locations, schools etc. LinkedIn has a content processing framework that uses machine learning to infer relationships from this user data. For example, when members enter explicit skills to their profiles a machine learning tool infers other skills. Trillions of member-generated and LinkedIn-inferred relationships exist in the LKG.

Analysis of these relationships reveals hidden relationships between members and the strength of these relationships. LinkedIn estimates the value that these connections provide to members. LinkedIn uses the estimated strength and value of these connections in their products.

LinkedIn members only have access to very basic data about their networks. When I reached 40,000 followers today, I extracted my data from LinkedIn to see exactly what information LinkedIn shares with members. LinkedIn provided data on the growth of my network over the past 16 years with several parameters including name, company, and title. I analyzed the data that LinkedIn shared and created 5 visualizations. It would be great to have access to more of my data!

Overview of my LinkedIn network

• I joined LinkedIn in 2006
• I have 30,000 1st degree connections
• I have 40,000 followers
• I have over 80,000 subscribers to 3 newsletters that I publish on LinkedIn.
• I own 5 groups on LinkedIn with over 10,000 members.
• Engagement analytics on LinkedIn indicate that my articles and reports have millions of views and very high engagement.
• LinkedIn provided data on the company distribution in my network. The companies with the highest number of my connections are AstraZeneca, Novo Nordisk, Novartis, Roche, and Bloomberg.
• LinkedIn provided the job titles of my connections. The majority of my connections have the titles CEO, Founder, President, Managing Director, General Partner, and Senior Scientist.

5 Visualizations of my LinkedIn Network

1.These are the top engagement demographics for people who engage with my content on LinkedIn. Engagement includes reading, liking, sharing, and commenting on my articles. Note: This chart is from the analytics page on my LinkedIn profile.

2. The highest number of people who engage with my content work at these companies. Note: This chart is from the analytics page on my LinkedIn profile.

3. I used Google Sheets to make this visualization. This chart shows the companies with the highest number of my connections.

4. I used Google Sheets to make this visualization. This pie chart shows the percentage of my connections at various companies. Note: I didn't include all of the companies because it created so many slices that it was difficult to read.

5. I used Google Sheets to make this visualization. This chart shows the companies that have the highest number of my connections.

How to extract your archived data from LinkedIn

Engagement data is available on your LinkedIn profile. If you would like to extract your complete data archive from LinkedIn here are the steps:

1. Go to your LinkedIn profile
2. Go to "Me"
3. Go to "Settings & Privacy"
4. Click "How LinkedIn uses your data"
5. Click "Get a copy of your data"
6. Go to "Want something in particular"
7. Click "Connections"
8. Click "Download Archive"
9. LinkedIn will email the file to you in about 10 minutes.
10. You can save the file in Excel and use Excel or Google Sheets to visualize your data in different ways.

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Copyright ? 2023 Margaretta Colangelo. All Rights Reserved.

This article was written by?Margaretta Colangelo.?Margaretta is a leading AI analyst who tracks significant milestones in AI in healthcare. She consults with AI healthcare companies and writes about some of the companies she consults with. Margaretta serves on the advisory board of the AI Precision Health Institute at the University of Hawai?i?Cancer Center?@realmargaretta