Albert-Laszlo Barabasi

Distinguished Professor Email: a.barabasi@neu.edu Phone: 617.373.7774

Degrees/Education

Ph.D., Boston University, 1994

Area(s) of Expertise

Theoretical Condensed Matter and Biological Physics

Research Interests

Just about every field of research is confronted with networks. Metabolic and genetic networks describe how proteins, substrates and genes interact in a cell; social networks quantify the interactions between people in the society; the Internet is a complex web of computers; ecological systems are best described as a web of species. In all these fields the detailed knowledge of the components is insufficient to describe the whole system. Since 1960, when Paul Erdös introduced the influential random graph theory, complex networks have been modeled as fundamentally random graphs. Our work has mounted a serious challenge to this view. By investigating the topology of the World Wide Web, Internet, cellular and social networks, we discovered that networks in nature follow a common blueprint, having scale-free characteristics. These results represent a significant paradigm shift: scale-free networks and the associated dynamic network modeling are a completely unexpected turn of events with a strong impact on every research area for which networks are relevant. We are currently exploring a wide range of network structures, asking questions pertaining to the error and attack tolerance of complex networks, their robustness, and trying to address the dynamics of networks in general. We are also pursuing a strong research program applying network theory to biological systems, aiming to uncover the inner chemical architecture of the cell.

Lab Website

Publications

Location

504 Dana Research Center

Researchers transcend boundaries for science

Throughout the 179th annual meeting of the Amer­ican Asso­ci­a­tion for the Advance­ment of Sci­ence, North­eastern fac­ulty led pre­sen­ta­tions high­lighting their work to address real-​​world chal­lenges in areas ranging from health to tech­nology to sus­tain­ability.

Complex systems made simple

Just as the name implies, com­plex sys­tems are dif­fi­cult to tease apart. An organism’s genome, a bio­chem­ical reac­tion, or even a social net­work all con­tain many inter­de­pen­dent components—and changing any one of them can have per­va­sive effects on all the others.