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原文連結
論文資訊
- 類型：已發表論文
- 日期：2020-04-01
摘要
We consider a generalised d-dimensional model for asymptotically-無標度 geographical 網絡s. Central to many 網絡s of this kind, when considering their growth in time, is the attachment rule, i.e. the probability that a new node is attached to one (or more) preexistent nodes. In order to be more realistic, a fitness parameter for each node i of the 網絡 is also taken into account to reflect the ability of the nodes to attract new ones. Our d-dimensional model takes into account the geographical distances between nodes, with different probability distribution for which sensibly modifies the growth dynamics. The preferential attachment rule is assumed to be where k(i) is the connectivity of the ith pre-existing site and characterizes the importance of the euclidean distance r for the 網絡 growth. For sp
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