Network scientist Alessandro Vespignani, who studies the spread of diseases, explains the pandemic potential of the emerging H7N9 bird flu and why it’s different from past strains.
A couple weeks ago I wrote a story about some work related to the Boston Marathon bombings that network scientists in David Lazer’s lab are working on. They’re asking Android […]
Earlier this month, the Obama administration announced its plan to put $100 million toward building a network map of the human brain. World leading network scientist and Northeastern Distinguished Professor […]
When economists talk about producers and consumers—the people that make stuff and the people that use it—they’re usually thinking about commodities like coffee, wheat, or oil. Not knowledge. That’s because […]
Here are two things that shouldn’t surprise you: Our past experiences determine our future behaviors and our social interactions are constantly changing. When it comes to humans operating in the […]
In late February, something happened to the Italian government that had never happened before: a hung parliament. After 75 percent of the population turned out to vote, it took two […]
When disaster strikes, we rely on our social networks for support. During hurricane Sandy, neighbors helped neighbors by sharing electrical power with those who’d lost it or removing tree limbs […]
The other day I starred the following headline in my RSS feed: “Any Two Pages on the Web Are Connected By 19 Clicks or Less.” I didn’t read it immediately […]
At the world’s largest science conference, Northeastern scholars urged interdisciplinary communication to develop solutions to the world’s greatest challenges.
If you’ve driven on the highway, you’ve seen it: The traffic jam appears out of nowhere and disappears just as mysteriously. We blame the cars around us for their poor […]
Network scientists at Northeastern have designed an algorithm capable of identifying the subset of components that reveal a complex system’s overall nature.
In 2009, Northeastern University network scientist Alessandro Vespignani developed a computational model that predicted the spread of the H1N1 virus. Three years later, new studies show that these predictions were highly accurate.