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第32行： − + − − | url = http://www.nd.edu/~networks/Publication%20Categories/03%20Journal%20Articles/Physics/StatisticalMechanics_Rev%20of%20Modern%20Physics%2074,%2047%20(2002).pdf − − | url = http://www.nd.edu/~networks/Publication%20Categories/03%20Journal%20Articles/Physics/StatisticalMechanics_Rev%20of%20Modern%20Physics%2074,%2047%20(2002).pdf − − Http://www.nd.edu/~networks/publication%20categories/03%20journal%20articles/physics/statisticalmechanics_rev%20of%20modern%20physics%2074,%2047%20(2002).pdf − − | authorlink1 = Réka Albert | first1 = Réka | last1 = Albert − − | authorlink1 = Réka Albert | first1 = Réka | last1 = Albert − − 1 = r é ka Albert | first1 = r é ka | last1 = Albert − − | authorlink2 = Albert-László Barabási | first2 = Albert-László | last2 = Barabási − − | authorlink2 = Albert-László Barabási | first2 = Albert-László | last2 = Barabási − − 2 = albert-lászló Barabási | first2 = albert-lászló | last2 = Barabási − − | title = Statistical mechanics of complex networks − − | title = Statistical mechanics of complex networks − − | title = 复杂网络的统计力学 − − | journal = [[Reviews of Modern Physics]] − − | journal = Reviews of Modern Physics − − | 杂志 = 现代物理学评论 − − | volume = 74 − − | volume = 74 − − 74 − − | pages = 47–97 − − | pages = 47–97 − − | 页数 = 47-97 − − | year = 2002 − − | year = 2002 − − 2002年 − − | doi = 10.1103/RevModPhys.74.47 − − | doi = 10.1103/RevModPhys.74.47 − − 10.1103/RevModPhys. 74.47 − − | bibcode=2002RvMP...74...47A − − | bibcode=2002RvMP...74...47A − − 2002RvMP... 74... 47A − − |arxiv = cond-mat/0106096 }}</ref> − − |arxiv = cond-mat/0106096 }}</ref> − − |arxiv = cond-mat/0106096 }}</ref>
→Emergence 出现
Emergence of hubs can be explained by the difference between scale-free networks and random networks. Scale-free networks (Barabási–Albert model) are different from random networks (Erdős–Rényi model) in two aspects: (a) growth, (b) preferential attachment.<ref name=RMP>{{Cite journal
Emergence of hubs can be explained by the difference between scale-free networks and random networks. Scale-free networks (Barabási–Albert model) are different from random networks (Erdős–Rényi model) in two aspects: (a) growth, (b) preferential attachment.<ref name=RMP>{{Cite journal
枢纽的成因可以用无标度网络和随机网络的区别来解释。'''<font color="#ff8000">无标度网络 Scale-Free Networks</font>'''（Barabási-Albert模型）与'''<font color="#ff8000">随机网络 Random Networks</font>'''（Erdős–Rényi model）的区别主要存在于如下两个方面: （a）'''<font color="#ff8000">增长 Growth</font>'''，（b）'''<font color="#ff8000">优先链接 Preferential Attachment</font>'''。{ Cite journal
枢纽的成因可以用无标度网络和随机网络的区别来解释。'''<font color="#ff8000">无标度网络 Scale-Free Networks</font>'''（Barabási-Albert模型）与'''<font color="#ff8000">随机网络 Random Networks</font>'''（Erdős–Rényi model）的区别主要存在于如下两个方面: （a）'''<font color="#ff8000">增长 Growth</font>'''，（b）'''<font color="#ff8000">优先链接 Preferential Attachment</font>'''。
* (a) Scale-free networks assume a continuous growth of the number of nodes ''N'', compared to random networks which assume a fixed number of nodes. In scale-free networks the degree of the largest hub rises polynomially with the size of the network. Therefore, the degree of a hub can be high in a scale-free network. In random networks the degree of the largest node rises logaritmically (or slower) with N, thus the hub number will be small even in a very large network.
* (a) Scale-free networks assume a continuous growth of the number of nodes ''N'', compared to random networks which assume a fixed number of nodes. In scale-free networks the degree of the largest hub rises polynomially with the size of the network. Therefore, the degree of a hub can be high in a scale-free network. In random networks the degree of the largest node rises logaritmically (or slower) with N, thus the hub number will be small even in a very large network.