Stanford University (04/17/13) Kelly Servick
Stanford University professor Jure Leskovec studies big data gathered by sites such as Twitter, Wikipedia, and Facebook to learn about the way society functions. Leskovec says fundamental patterns of behavior are revealed in online activities such as sharing news, clicking links, and casting votes. He recently studied data mined from 6 billion news articles and blog posts collected daily for the last four years, some of which was crawled from the Internet, while other data came from companies such as Facebook, Twitter, and Microsoft. The companies hoped that working with Leskovec would yield useful information about how people make sense of the Internet and social media. Facebook, for example, worked with Leskovec's team to discover a way to forecast which friends Facebook users would add next, and this evolved into the "people you may know" feature. Leskovec also is developing programs that forecast what people are trying to find based on the way they navigate and whether they will abandon their search, which could result in technology that points users in the right direction when they are not finding the information they need. Leskovec's most recent work involves the study of how news and other information travels through networks.
http://engineering.stanford. edu/news/big-questions-big- data-stanfords-jure-leskovec
Stanford University professor Jure Leskovec studies big data gathered by sites such as Twitter, Wikipedia, and Facebook to learn about the way society functions. Leskovec says fundamental patterns of behavior are revealed in online activities such as sharing news, clicking links, and casting votes. He recently studied data mined from 6 billion news articles and blog posts collected daily for the last four years, some of which was crawled from the Internet, while other data came from companies such as Facebook, Twitter, and Microsoft. The companies hoped that working with Leskovec would yield useful information about how people make sense of the Internet and social media. Facebook, for example, worked with Leskovec's team to discover a way to forecast which friends Facebook users would add next, and this evolved into the "people you may know" feature. Leskovec also is developing programs that forecast what people are trying to find based on the way they navigate and whether they will abandon their search, which could result in technology that points users in the right direction when they are not finding the information they need. Leskovec's most recent work involves the study of how news and other information travels through networks.
http://engineering.stanford.
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