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原文連結
論文資訊
- 類型：已發表論文
- 日期：2020-02-23
摘要
A common trait of 複雜系統s is that they can be represented by means of a 網絡 of interacting parts. It is, in fact, the 網絡 organization (more than the parts) that largely conditions most higher-level properties, which are not reducible to the properties of the individual parts. Can the topological organization of these webs provide some insight into their 演化ary origins? Both 生物 and artificial 網絡s share some common architectural traits. They are often heterogeneous and sparse, and most exhibit different types of correlations, such as nestedness, modularity or hierarchical patterns. These properties have often been attributed to the selection of functionally meaningful traits. However, a proper formulation of generative 網絡 models suggests a rather different picture. Against the standard selection
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