Universe Grows Like a Giant Brain

A fundamental law of nature may govern the growth of brain networks, social networks, and the expansion of the Universe, a new computer simulation suggests (Image credit: WGBH Educational Foundation)

The universe may grow like a giant brain, according to a new computer simulation.

The results, published Nov.16 in the journal Nature's Scientific Reports, suggest that some undiscovered, fundamental laws may govern the growth of systems large and small, from the electrical firing between brain cells and growth of social networks to the expansion of galaxies.

"Natural growth dynamics are the same for different real networks, like the Internet or the brain or social networks," said study co-author Dmitri Krioukov, a physicist at the University of California San Diego.

The new study suggests a single fundamental law of nature may govern these networks, said physicist Kevin Bassler of the University of Houston, who was not involved in the study. [What's That? Your Physics Questions Answered]

"At first blush they seem to be quite different systems, the question is, is there some kind of controlling laws can describe them?" he told LiveScience.

By raising this question, "their work really makes a pretty important contribution," he said.

Similar Networks

Past studies showed brain circuits and the Internet look a lot alike. But despite finding this functional similarity, nobody had developed equations to perfectly predict how computer networks, brain circuits or social networks grow over time, Krioukov said.

Using Einstein's equations of relativity, which explain how matter warps the fabric of space-time, physicists can retrace the universe's explosive birth in the Big Bang roughly 14 billion years ago and how it has expanded outward in the eons since.

So Krioukov's team wondered whether the universe's accelerating growth could provide insight into the ways social networks or brain circuits expand.

Brain cells and galaxies

The team created a computer simulation that broke the early universe into the tiniest possible units — quanta of space-time more miniscule than subatomic particles. The simulation linked any quanta, or nodes in a massive celestial network, that were causally related. (Nothing travels faster than light, so if a person hits a baseball on Earth, the ripple effects of that event could never reach an alien in a distant galaxy in a reasonable amount of time, meaning those two regions of space-time aren't causally related.)

As the simulation progressed, it added more and more space-time to the history of the universe, and so its "network" connections between matter in galaxies, grew as well, Krioukov said.

When the team compared the universe's history with growth of social networks and brain circuits, they found all the networks expanded in similar ways: They balanced links between similar nodes with ones that already had many connections. For instance, a cat lover surfing the Internet may visit mega-sites such as Google or Yahoo, but will also browse cat fancier websites or YouTube kitten videos. In the same way, neighboring brain cells like to connect, but neurons also link to such "Google brain cells" that are hooked up to loads of other brain cells.

The eerie similarity between networks large and small is unlikely to be a coincidence, Krioukov said.

"For a physicist it's an immediate signal that there is some missing understanding of how nature works," Krioukov said.

It's more likely that some unknown law governs the way networks grow and change, from the smallest brain cells to the growth of mega-galaxies, Krioukov said.

"This result suggests that maybe we should start looking for it," Krioukov told LiveScience.

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Tia Ghose
Managing Editor

Tia is the managing editor and was previously a senior writer for Live Science. Her work has appeared in Scientific American, Wired.com and other outlets. She holds a master's degree in bioengineering from the University of Washington, a graduate certificate in science writing from UC Santa Cruz and a bachelor's degree in mechanical engineering from the University of Texas at Austin. Tia was part of a team at the Milwaukee Journal Sentinel that published the Empty Cradles series on preterm births, which won multiple awards, including the 2012 Casey Medal for Meritorious Journalism.