Northeastern physicists Albert-László Barabási and Gang Yan reveal a measuring strategy that could guide scientists in controlling real-world complex systems.
When it comes to fighting diseases in the 21st century, Big Data is becoming an integral weapon. At the forefront of this battle is world-renowned network scientist Alessandro Vespignani, who […]
Nepal’s “harsh geography” will make the rescue and humanitarian aid efforts in response to the devastating earthquake rather challenging, but technology and social media are improving the efficiency of these efforts, says Northeastern associate professor Ozlem Ergun, an expert in large-scale networks.
Assigning credit for science papers with multiple authors can sometimes be a challenge. But a paper from Northeastern’s Center for Complex Network Research offers a new way to allocate this credit.
New research from Northeastern’s Center for Complex Network Research presents a pioneering approach to understanding European and North American cultural history by mapping out the mobility patterns of notable intellectuals over a 2,000-year span.
Northeastern professor and network scientist Alessandro Vespignani—a world-renowned expert who has developed computational models to predict the spread of disease—discusses the recent outbreak of Ebola virus in West Africa.
Photo via Thinkstock.
In response to revelations of failures in the Google Flu Trends’ predictive capabilities, Northeastern University researchers examined how Big Data can best be utilized for scientific gain in a report published online on Thursday in the journal Science.
World-renowned network scientist Albert László Barabási was installed as the inaugural Robert Gray Dodge Professor of Network Science on Monday, when he delivered a lecture highlighting his research on the “science of success.”
People tend to adopt risky behaviors after getting vaccinated against transmissible diseases, but how does this behavior affect the spread of infections? In new research, Northeastern faculty are taking a closer look.
What would happen if hazardous biological research accidentally escaped the lab? Alessandro Vespignani, a Northeastern professor and world-renowned statistical physicist, conducted a computational experiment to find out.
Baruch Barzel, a post-doctoral research associate in the Center for Complex Network Science, answers some of the most fundamental questions about complex networks. The answers surprised even him.
Northeastern professors David Lazer, an authority on social networks, and Alessandro Vespignani, a world-renowned statistical physicist, addressed members of the Committee on Science, Space, and Technology in a briefing on Tuesday on Capitol Hill.
Communities with strong mutualistic interactions tend to be more resilient, according to a new study by Filippo Simini, a postdoctoral research associate in Northeastern’s Center for Complex Network Research.
On April 15 I was walking my dog in Franklin Park, a big beautiful green space just at the edge of the city. At 3:32 pm my cousin sent me […]
In new research, network scientist Alessandro Vespignani and his team show through computational modeling that a hypothetical attack involving smallpox may spread to two or four countries before the first cases are ever diagnosed.
Baruch Barzel, a postdoctoral researcher in world-renowned network scientist Albert-László Barabási’s lab, has worked out a method for mapping the interactions between cellular components, moving the team a step closer in its quest to understand, predict, and control disease.
The pioneering degree program, which will begin this fall, will focus on an interdisciplinary field that seeks to understand the underlying complexity of various systems.
As you may have noticed, I’ve been slacking off in my blogging duties recently (not withstanding yesterday and the amazing guest posts you saw over the last couple weeks). While […]
Northeastern’s Center for Complex Network Research organized a daylong symposia on the Science of Success on Monday, bringing together experts in fields ranging from business to physics.
Symposium to discuss the phenomena of success and how it can be predicted based on data from all areas of life.
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.
Alessandro Vespignani, the Sternberg Family Distinguished University Professor of physics, computer science and health sciences, believes that complex systems science has the potential to solve real-world challenges.
On Friday I got to pretend I was a student again. I sat in on Auroop Ganguly’s graduate class, Applied Time Series and Spatial Statistics for the second of two guest […]
Debate season is an exciting time for professor David Lazer’s lab, and I’m delighted to be able to bring you more analysis from their team. This time, research assistant professor Yu-Ru […]