posts about or somewhat related to ‘metrics’
Via Experian Hitwise:
- Facebook.com received 9% of all US Internet visits in April 2012.
- Facebook.com received more than 1.6 billion visits a week and averaged more than 229 million US visits a day for the year-to-date.
- 1 in every 5 page views in the US occurred on Facebook.com.
- Facebook.com has received more than 400 billion page views this year in the US.
- The average visit time on Facebook.com is 20 minutes.
- The Facebook.com audience skews more female (56%) than male.
Read through for nine more Facebook stats.
Gary King, director of Harvard’s Institute for Quantitative Social Science, to the New York Times. The Age of Big Data.
To grasp the potential impact of Big Data, look to the microscope, says Erik Brynjolfsson, an economist at Massachusetts Institute of Technology’s Sloan School of Management. The microscope, invented four centuries ago, allowed people to see and measure things as never before — at the cellular level. It was a revolution in measurement.
Data measurement, Professor Brynjolfsson explains, is the modern equivalent of the microscope. Google searches, Facebook posts and Twitter messages, for example, make it possible to measure behavior and sentiment in fine detail and as it happens.
Ditto all the data producing sensors in industrial equipment, buying trends at the Walmarts of the world, traffic patterns and delivery routes analyzed by the likes of UPS, and on and on and on.
A great overview for those trying to understand what the Big Data fuss is all about.
Related: Big Data was a big deal at the World Economic Forum. A report issued from it called Big Data, Big Impact: New Possibilities for International Development can be downloaded here.
Joseph Turow, The Atlantic. A Guide to the Digital Advertising Industry That’s Watching Your Every Click.
A longread excerpt from Turow’s new book The Daily You.
Researchers are analyzing if its possible to predict how widely news items will spread before publishing and promoting them via social networks.
By analyzing past performance of popular Twitter posts, the researchers from UCLA and HP Labs believe they can predict ranges of popularity on Twitter with 84% accuracy.
Via Technology Review:
[Bernardo Huberman] wants to know whether their is something about the news stories themselves that determine their popularity. In other words, he’s looking for factors that determine how popular a news story will be before it is even published.
To find out, Huberman and his colleagues examined the content of news stories during a single week in August last year as measured by the news feed aggregator Feedzilla. They scored each article based on four criteria: the news source that generates and posts the article; the category of news; the subjectivity of the language; and the people and things named in the article.
They then measured the way these news stories spread across the Twitter network to see which became popular and how quickly. They used this to work out how an article’s score in each criterion is linked to its eventual popularity.
Technology Review rightfully points out that this could have a profound effect on how newsrooms assign and schedule their editorial. It also suggests that we could have “social checkers” in our word processing apps and CMS’s that work similarly to spell checkers. The social checker would help predict how popular our stories will become.
An interesting metric even if it ignores the simple fact that often the most important stories aren’t the ones that reach the most eyeballs.
Study: The Pulse of News in Social Media: Forecasting Popularity, via arxiv (PDF).