Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Tens of thousands of music tracks are uploaded to the Internet every day through social networks that focus on music and videos, as ll as portal bsites. While some of the content has been popular for decades, some tracks that have just been released have been completely ignored. So what makes a music track popular? Can  predict the popularity of a music track before it is released? In this research,  will focus on an online music social network, Last.fm, and investigate three key factors of a music track that may have impact on its popularity. They include: the music content, the artist reputation and the social context of the music. The results suggest that  can predict the future popularity of music with around 80% accuracy using just these three factors.  also found out that in the social networks scenario, the content of the music seems to be an surprisingly important factor that determines the popularity of a track online.
['Jing Ren', 'Jialie Shen', 'Robert J. Kauffman']
I am writing a research paper on a idea What Makes a Music Track Popular in Online Social Networks
[{"from": "human", "value": "I am writing a research paper on a idea What Makes a Music Track Popular in Online Social Networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Tens of thousands of music tracks are uploaded to the Internet every day through social networks that focus on music and videos, as ll as portal bsites. While some of the content has been popular for decades, some tracks that have just been released have been completely ignored. So what makes a music track popular? Can  predict the popularity of a music track before it is released? In this research,  will focus on an online music social network, Last.fm, and investigate three key factors of a music track that may have impact on its popularity. They include: the music content, the artist reputation and the social context of the music. The results suggest that  can predict the future popularity of music with around 80% accuracy using just these three factors.  also found out that in the social networks scenario, the content of the music seems to be an surprisingly important factor that determines the popularity of a track online."}]