HP Labs


HP Labs: Attention is more important than money

The conclusion from a recent study by HP Labs, Status as a Valued Resource, which confirms that attention is more important than money may seem totally counterintuitive. Outside of totalitarian dictatorships and countries that are totally ramshackle and broken down, we live in economies that could be categorised as capitalist to one degree or another. Without money the governmental and business systems of a State quickly grind to a halt. Our lives, as individuals without money, can become onerous in the extreme. Therefore, on the surface, money can be seen as vital and core to our survival and anything else is a bonus. Claiming that something as seemingly trivial as attention is actually more important is a very challenging idea.


Predicting Box Office Returns using Twitter: Bernardo Huberman from HP Labs

Last week, Technology Voice spoke to Bernardo Huberman, Senior HP Fellow and Director of the Social Computing Lab at HP Labs. For the last two years, he and his colleagues have been focusing on the phenomenon of, in his words, “social attention”. Our world has exploded in terms of the amount of information that we have available to us. But like so many plentiful things, all this information has very little value. As Bernardo puts it, “ The only things in life that have value are the things that are scarce.”


How To Influence On Twitter: Research Results from New Algorithm Give Guidance

Recent work done at HP Labs, the exploratory and research group for Hewlett Packard, shows what most of us suspected as being true all all along; that just because a person has a lot of followers, it doesn’t mean they have a lot of influence.

In September 2009, using an algorithm they devised called the IP (Influence/Passivity) algorithm, a team of researchers from HP Labs continuously queried the Twitter Search API for 300 straight hours for all tweets containing the string of letters 'http'. Finding this string in a tweet would indicate the presence of a URL, and demonstrate that a web page was being shared or retweeted by means of a link.

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