Peer-to-peer file sharing of movies, television shows, music, books and other files over the Internet has grown rapidly worldwide as an alternative approach for people to get the digital content they want — often illicitly. But, unlike the users of Amazon, Netflix and other commercial providers, little is known about users of peer-to-peer (P2P) systems because data is lacking.
Now, armed with an unprecedented amount of data on users of BitTorrent, a popular file-sharing system, a Northwestern University research team has discovered two interesting behavior patterns: most BitTorrent users are content specialists — sharing music but not movies, for example; and users in countries with similar economies tend to download similar types of content — those living in poorer countries such as Lithuania and Spain, for example, download primarily large files, such as movies.
“Looking into this world of Internet traffic, we see a close interaction between computing systems and our everyday lives,” said Luís A. Nunes Amaral, a senior author of the study. “People in a given country display preferences for certain content — content that might not be readily available because of an authoritarian government or inferior communication infrastructure. This study can provide a great deal of insight into how things are working in a country.”
Amaral, a professor of chemical and biological engineering in the McCormick School of Engineering and Applied Science, and Fabián E. Bustamante, professor of electrical engineering and computer science, also at McCormick, co-led the interdisciplinary research team with colleagues from Universitat Rovira i Virgili in Spain.
Their study, published this week by the Proceedings of the National Academy of Sciences…reports BitTorrent users in countries with a small gross domestic product (GDP) per capita were more likely to share large files, such as high-definition movies, than users in countries with a large GDP per capita, where small files such as music were shared.
Also, more than 50 percent of users’ downloaded content fell into their top two downloaded content types, putting them in the content specialist, not generalist, category.
The full article is here, the paper and data are here, and for the pointer I thank Charles Klingman. Can you explain the rich-poor, music vs. movies difference using economic theory?