Scaling - Rivers, blood and transportation networks - Reply

被引:7
作者
Banavar, JR [1 ]
Maritan, A
Rinaldo, A
机构
[1] Penn State Univ, Dept Phys, Davey Lab 104, University Pk, PA 16802 USA
[2] Penn State Univ, Ctr Phys Mat, Davey Lab 104, University Pk, PA 16802 USA
[3] Int Sch Adv Studies, I-34014 Trieste, Italy
[4] INFM, I-34014 Trieste, Italy
[5] Abdus Salam Int Ctr Theoret Phys, I-34014 Trieste, Italy
[6] Univ Padua, Dipartimento IMAGE, I-35131 Padua, Italy
关键词
D O I
10.1038/35041635
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 [理学]; 0710 [生物学]; 09 [农学];
摘要
The idea behind our theorem1 is simple. It can be illustrated by using airline travel as an example. Consider a stream of people (blood) leaving London (heart) at a steady rate and fanning out to all parts of the world (body). The number of people leaving London each day and arriving elsewhere at their final destinations (metabolic rate) is denoted by B. Assuming that the people travel along a locally connected network and that the transit time for each local hop is the same (say, 1 day), the number of people in transit at any given time (blood volume) is proportional to B, but with a proportionality constant that is given by the mean number of hops from all the destination cities to London.
引用
收藏
页码:160 / 160
页数:1
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