flâneur

Finding Communities of Collaborators in Paul Graham's Essays · AF

faingezicht.com · 1,725 words · saved by 1 readers

In the world of startups, few people have a presence as strong as Paul Graham’s. An avid computer scientist turned venture capitalist, pg (as he is known on the news aggregator Hacker News) is also famous for his thoughtful essays, which he publishes on a regular basis on http://www.paulgraham.com, and which spawn a wide range of topics. Almost every single article ever posted by Graham ends with a thank you note to those who discussed the topic with him, read his drafts, or somehow influenced him to write about the subject. Individually, these are just polite acknowledgements, but in aggregate, they offer a window into Graham’s personal network. The underlying assumption I will make here is that when Paul asks two people to read or review a draft of one of his essays, there is an implied relationship between the two collaborators’ expertise, and this should be somehow encoded in the data. In this post I will try to analyze this system, and in the process explain how one can infer comm

In the world of startups, few people have a presence as strong as Paul Graham's. An avid computer scientist turned venture capitalist , pg (as he is known on the news aggregator Hacker News) is also famous for his thoughtful essays, which he publishes on a regular basis on http://www.paulgraham.com , and which spawn a wide range of topics. Almost every single article ever posted by Graham ends with a thank you note to those who discussed the topic with him, read his drafts, or somehow influenced him to write about the subject. Individually, these are just polite acknowledgements, but in aggreg

saved by

related reading