Business networks are like big puzzles. They are made up of many parts, and these parts are not all the same. Some parts are closer together. Others are further apart. This is what makes the network complex.

Think of a network as a city. In a city, there are neighborhoods. Some neighborhoods are right next to each other. Others are far apart. The city has layers. So does a network.

Researchers have found a new way to look at these layers. They call it the "local l-adjacency clustering coefficient. " This is a fancy way of saying they measure how close or far apart different parts of the network are. They do this by looking at how connected the parts are.

The closer the parts are, the more connected they are. The further apart they are, the less connected they are. This helps researchers understand the structure of the network. It also helps them see how the network changes as they look at different layers.

To test their idea, researchers looked at air traffic networks. They found that their method worked. It helped them see the structure of the network. It also helped them see how the network changed as they looked at different layers.

This is important because it helps us understand how business networks work. It also helps us see how they change. This can help businesses make better decisions. It can also help them understand their networks better.

But it's not just about business. This method can be used in many different fields. It can help us understand social networks. It can help us understand biological networks. It can even help us understand the internet.

So, the next time you think about a network, remember that it's not just a big puzzle. It's a puzzle with many layers. And understanding those layers can help us understand the puzzle better.

AIR TRAFFIC NETWORKS

Unraveling the Layers of Business Networks

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