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

(Springer) 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.