Communications of the ACM
Asu Researcher Works to Design Algorithms For More Robust Networks
A team of researchers at Arizona State University is trying to design effective intervention strategies and algorithms to address when networks are likely to fail.
Credit: ASU News
Researchers at Arizona State University (ASU) say they are trying to design effective intervention strategies and algorithms when networks are likely to fail.
The researchers recently received a $500,000 U.S. National Science Foundation CAREER Award to develop and test base theories and algorithms to address network robustification.
"We're looking at what we can do to intervene--by establishing or cutting out links or nodes to rewire them--so robustness changes in a desired way," says ASU professor Hanghang Tong.
The researchers plan to develop a unified suite of algorithms that are scalable, adaptable, and optimized for a wide variety of networks and robustification challenges.
The team then will verify the algorithm suite functions with real-world applications in an intelligent transportation system and an online social collaboration.
NSF says it chose to fund Tong's research because of his innovative approach in moving beyond network robustness observation to intervention and its broader impact.
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