范围(计算机科学)
普遍性(动力系统)
网络科学
无标度网络
复杂网络
互联网
数据科学
功能(生物学)
计算机科学
比例(比率)
网络理论
万维网
生物
地理
物理
数学
统计
进化生物学
量子力学
程序设计语言
地图学
作者
Albert‐László Barabási
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2009-07-23
卷期号:325 (5939): 412-413
被引量:1987
标识
DOI:10.1126/science.1173299
摘要
For decades, we tacitly assumed that the components of such complex systems as the cell, the society, or the Internet are randomly wired together. In the past decade, an avalanche of research has shown that many real networks, independent of their age, function, and scope, converge to similar architectures, a universality that allowed researchers from different disciplines to embrace network theory as a common paradigm. The decade-old discovery of scale-free networks was one of those events that had helped catalyze the emergence of network science, a new research field with its distinct set of challenges and accomplishments.
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