A new method provides better insights into real-world network evolution

Nature is full of so-called real-world complex systems, such as protein interactions. To study them, reconstruction of complex networks is key as the data available is often inaccurate. In this context, link prediction matters. Jin-Xuan Yang and Xiao-Dong Zhang from Shanghai Jiao Tong University in China have just published a new study in EPJ B, providing a valuable reference for the choice of a suitable algorithm for link prediction depending on the chosen network structure.

A new method provides better insights into real-world network evolution

Nature and society are full of so-called real-world complex systems, such as protein interactions. Theoretical models, called complex networks, describe them and consist of nodes representing ...

Wed 13 Sep 17 from Phys.org

A new method provides better insights into real-world network evolution, Wed 13 Sep 17 from Eurekalert

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