Given your expertise in this field, Tim, I've come up with another way to examine this influence.
As authors, we all have our favorite topics to explore and write about.
The overlap between topics across different authors and not just followers has some interesting properties.
Counting the unique topics each author writes each month and getting the overlaps with other authors shows us the topics/themes connections between authors. What are the common topics these authors are writing about?
I ran this topic overlap count across the dataset I have and got the following results for you:
Other author - overlap_count
Alex Mathers - 108
Derek Hughes - 55
Kristina God, MBA - 55
Tim Denning - 53
Eve Arnold - 51
Tim, it's fascinating to see that you share a significant affinity with Alex Mathers from a topic overlap perspective. Your connection to the topic overlap dimension is over 2X bigger with Alex than with other top authors in the database.
I'm still determining what this means, so I am curious about your relationship with Alex Mathers. Do you know him or follow his posts? Or perhaps Alex knows you and follows your work?
Wow, thanks for these insights, I actually didn't know. Obviously, I know about Alex Mathers and thinks he offers some unique insights. This might be the reason I have such an overlap with his topics but I truly don't know.
It's a huge difference compared to the others! Wow.
Nice analysis. Each of these authors have certainly had a impact on the market. They also have a strong voice/focus. Not sure which is most important. I'm sure I'm crammed in there somewhere - as a reader.
It'd be interesting to see if the metrics for reading change as the reader becomes more successful themselves.
Do they search out other types of writing?
Or do they keep creating, writing, and reading as they always have?
Interesting. I made a chatbot with my Medium stories. I wanted to be able to get themes and connections I may not have noticed. I think I'll do it with my Substack as well. It was very helpful. Probably be better if I could add in story metric into the chatbot. Going check it out.
Sounds like a great project. Did you use some LLM API to pull the themes and connections?
I'm thinking about pulling time series data from topics usage to see how authors evolve. What topics are rising as the author is trying to figure out their space?
I did similar exercise with Tim Denning's data and got some interesting graphs. They just tend to get quite busy, so I would need a way to summarize the themes instead of individual topics.
I've done some testing using OpenAI APIs in my data pipelines, but would need a better integration mechanism.
I use bundleiq.com to build my chatbot. Its super easy. It has an API that can be incorporated into your pipeline but I'm just building chatbots. They are embeddable and you can also monetize them if you want.
I invested in the company. So, if you want to try it, let me know and I'll get you a discount code.
You can select between a few different LLM's when you set your chatbot up. It uses a proprietary, retrieval-augmented generator (RAG) with the LLM of your choice. It's much more accurate and reliable.
I learn a tremendous amount from your deep dives. Always worth the time to read.
Great insights here, Finn.
Love how you point out, how they're all connected and what influences them.
Thanks, Tim.
Given your expertise in this field, Tim, I've come up with another way to examine this influence.
As authors, we all have our favorite topics to explore and write about.
The overlap between topics across different authors and not just followers has some interesting properties.
Counting the unique topics each author writes each month and getting the overlaps with other authors shows us the topics/themes connections between authors. What are the common topics these authors are writing about?
I ran this topic overlap count across the dataset I have and got the following results for you:
Other author - overlap_count
Alex Mathers - 108
Derek Hughes - 55
Kristina God, MBA - 55
Tim Denning - 53
Eve Arnold - 51
Tim, it's fascinating to see that you share a significant affinity with Alex Mathers from a topic overlap perspective. Your connection to the topic overlap dimension is over 2X bigger with Alex than with other top authors in the database.
I'm still determining what this means, so I am curious about your relationship with Alex Mathers. Do you know him or follow his posts? Or perhaps Alex knows you and follows your work?
Wow, thanks for these insights, I actually didn't know. Obviously, I know about Alex Mathers and thinks he offers some unique insights. This might be the reason I have such an overlap with his topics but I truly don't know.
It's a huge difference compared to the others! Wow.
Nice analysis. Each of these authors have certainly had a impact on the market. They also have a strong voice/focus. Not sure which is most important. I'm sure I'm crammed in there somewhere - as a reader.
It'd be interesting to see if the metrics for reading change as the reader becomes more successful themselves.
Do they search out other types of writing?
Or do they keep creating, writing, and reading as they always have?
Thanks, Jeff
I did a bit more detailed analysis on Derek Hughes in this version https://medium.com/the-springboard/hidden-connections-between-top-12-medium-authors-50803578e9d4
You can see how his metrics changed over time as he gained more followers and became successful. The data shows this fascinating evolution.
Interesting. I made a chatbot with my Medium stories. I wanted to be able to get themes and connections I may not have noticed. I think I'll do it with my Substack as well. It was very helpful. Probably be better if I could add in story metric into the chatbot. Going check it out.
Sounds like a great project. Did you use some LLM API to pull the themes and connections?
I'm thinking about pulling time series data from topics usage to see how authors evolve. What topics are rising as the author is trying to figure out their space?
I did similar exercise with Tim Denning's data and got some interesting graphs. They just tend to get quite busy, so I would need a way to summarize the themes instead of individual topics.
I've done some testing using OpenAI APIs in my data pipelines, but would need a better integration mechanism.
I use bundleiq.com to build my chatbot. Its super easy. It has an API that can be incorporated into your pipeline but I'm just building chatbots. They are embeddable and you can also monetize them if you want.
I invested in the company. So, if you want to try it, let me know and I'll get you a discount code.
You can select between a few different LLM's when you set your chatbot up. It uses a proprietary, retrieval-augmented generator (RAG) with the LLM of your choice. It's much more accurate and reliable.