Synchronicity is all around us, but it is poorly understood. Computer scientists have now developed new tools to understand how human and natural networks fall in and out of sync.
Computer scientists and mathematicians working in complex systems at the University of Sydney and the Max Planck Institute for Mathematics in the Sciences in Germany have developed new methods to describe what many of us take for granted -- how easy, or hard, it can be to fall in and out of sync.
"Being in sync in a system can be very good; you want your heart cells to all beat together rather than fibrillate. But being in sync can also be very bad; you don't want your brain cells to all fire together in an epileptic seizure." To understand how these systems work, the researchers studied what are known as"walks" through a network in a complex system. Walks are sequences of connected hops between individual elements or nodes in the network.Associate Professor Lizier said:"Our maths examines paired walks: where you start at one node and set off on two walks with randomly chosen hops between nodes for a specified number of steps. Those two walks might end up at the same node or at different nodes .
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