Jonas L Juul
@jonassjuul.bsky.social
Assistant Professor at the IT University of Copenhagen. Interested in networks, spreading processes, and data science.
4/7
On today’s chart, there are
- Fewer songs by new artists
- More songs performed by established ‘hitmakers’ (but these songs reach lower positions on average than used to be the case for hitmakers)
- Many, many more collaborations than previously.
On today’s chart, there are
- Fewer songs by new artists
- More songs performed by established ‘hitmakers’ (but these songs reach lower positions on average than used to be the case for hitmakers)
- Many, many more collaborations than previously.
September 22, 2025 at 9:07 AM
4/7
On today’s chart, there are
- Fewer songs by new artists
- More songs performed by established ‘hitmakers’ (but these songs reach lower positions on average than used to be the case for hitmakers)
- Many, many more collaborations than previously.
On today’s chart, there are
- Fewer songs by new artists
- More songs performed by established ‘hitmakers’ (but these songs reach lower positions on average than used to be the case for hitmakers)
- Many, many more collaborations than previously.
3/7
- Song chart lifetimes peaked in the 2000s, then dropped.
- In the past two decades, lifetime inequality has surged (gini >0.6), because
- Mega hits are now staying on the chart for months, even years;
- Churn in the bottom is huge.
(tales of both the winner-takes-all and long tail theories)
- Song chart lifetimes peaked in the 2000s, then dropped.
- In the past two decades, lifetime inequality has surged (gini >0.6), because
- Mega hits are now staying on the chart for months, even years;
- Churn in the bottom is huge.
(tales of both the winner-takes-all and long tail theories)
September 22, 2025 at 9:07 AM
3/7
- Song chart lifetimes peaked in the 2000s, then dropped.
- In the past two decades, lifetime inequality has surged (gini >0.6), because
- Mega hits are now staying on the chart for months, even years;
- Churn in the bottom is huge.
(tales of both the winner-takes-all and long tail theories)
- Song chart lifetimes peaked in the 2000s, then dropped.
- In the past two decades, lifetime inequality has surged (gini >0.6), because
- Mega hits are now staying on the chart for months, even years;
- Churn in the bottom is huge.
(tales of both the winner-takes-all and long tail theories)
New paper out in EPJ Data Science!
We analyze 65 years of Billboard Hot 100 data to ask:
🎵Are songs moving differently up and down the chart nowadays?
📉 Are hits shorter-lived?
📈 Or do superstars dominate more than ever?
Paper: epjdatascience.springeropen.com/articles/10....
🧵 1/7
We analyze 65 years of Billboard Hot 100 data to ask:
🎵Are songs moving differently up and down the chart nowadays?
📉 Are hits shorter-lived?
📈 Or do superstars dominate more than ever?
Paper: epjdatascience.springeropen.com/articles/10....
🧵 1/7
September 22, 2025 at 9:07 AM
New paper out in EPJ Data Science!
We analyze 65 years of Billboard Hot 100 data to ask:
🎵Are songs moving differently up and down the chart nowadays?
📉 Are hits shorter-lived?
📈 Or do superstars dominate more than ever?
Paper: epjdatascience.springeropen.com/articles/10....
🧵 1/7
We analyze 65 years of Billboard Hot 100 data to ask:
🎵Are songs moving differently up and down the chart nowadays?
📉 Are hits shorter-lived?
📈 Or do superstars dominate more than ever?
Paper: epjdatascience.springeropen.com/articles/10....
🧵 1/7