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.
At the world’s largest science conference, Northeastern scholars urged interdisciplinary communication to develop solutions to the world’s greatest challenges.
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.
Albert-László Barabási and his colleagues have developed a new mathematical algorithm that improves the predictive power of human behavioral patterns
Student commencement speaker Emily Batt dreams of running a studio in which fine artists and engineers collaborate on experimental projects in science and design.
Albert-László Barabási, Distinguished Professor of Physics, explains how he and his Northeastern colleagues are exploring complex networks that emerge in nature, science and technology.
Filippo Simini and Albert-László Barabási of the Center for Complex Network Research present a new model for mapping human mobility patterns that could lead to more accurate predictions of the spread of infectious diseases and even knowledge.
Network scientist Alessandro Vespignani discusses the motivations for and implications of controversial research that could yield a better understanding of the spread of influenza viruses.