The brain is a very complex network of relationships, and, at first glance, it has little to do with Twitter. The researchers developed a theoretical model presented recently at the annual meeting of the Society of Neurology, which shows that information flows between neighboring brain regions, as well as between Twitter users, go mainly in one direction - this property prevents the reverse flow of excess information.
Neurophysiologist Stefan Michalas of the Brain Institute in Seattle and his colleague Michael Beuys compares three different types of networks: the mouse brain region network, the network of individual neurons of the free-living nematode and the network of Twitter users. They wanted to know exactly how each node is connected to neighboring nodes.
All three types of networks showed similar properties. For example, if in the brain of the region, A is connected with region B, and the region of Bsvyat with region B, then u, A is connected with B. The same is true for Twitter: if user A reads user B and user B reads user B, then users, A and B most likely know about each other.
In most cases, the connection is two-way: in the brain of the mouse, only a few areas of the brain transmit information back. In the case of Twitter, people with a large number of followers read only a few of these people.
The directional nature of these networks makes sense. According to Michalas, this reduces the unnecessary redundancy of information.