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→Aging of hubs (nodes)枢纽（节点）的老化
===Aging of hubs (nodes)枢纽（节点）的老化===
===Aging of hubs (nodes)枢纽（节点）的老化===
The phenomenon present in real networks, when older hubs are shadowed in a network. This phenomenon is responsible for changes in evolution and topology of networks.<ref>[http://barabasi.com/networksciencebook/content/book_chapter_6.pdf Barabási, Albert-László. ''Network Science: Evolving Networks''., p. 3]</ref> The example of aging phenomenon may be the case of Facebook overtaking the position of the largest hub on the Web, Google(which was the largest node since 2000).{{Citation needed|date=May 2016}}
The phenomenon present in real networks, when older hubs are shadowed in a network. This phenomenon is responsible for changes in evolution and topology of networks.<ref>[http://barabasi.com/networksciencebook/content/book_chapter_6.pdf Barabási, Albert-László. ''Network Science: Evolving Networks''., p. 3]</ref> The example of aging phenomenon may be the case of Facebook overtaking the position of the largest hub on the Web, Google(which was the largest node since 2000).
The phenomenon present in real networks, when older hubs are shadowed in a network. This phenomenon is responsible for changes in evolution and topology of networks. The example of aging phenomenon may be the case of Facebook overtaking the position of the largest hub on the Web, Google(which was the largest node since 2000).
The phenomenon present in real networks, when older hubs are shadowed in a network. This phenomenon is responsible for changes in evolution and topology of networks. The example of aging phenomenon may be the case of Facebook overtaking the position of the largest hub on the Web, Google(which was the largest node since 2000).
当旧的枢纽被隐藏在网络中时，这种现象便在真实网络中出现。这种现象导致了网络演化和拓扑结构的变化。<ref>[http://barabasi.com/networksciencebook/content/book_chapter_6.pdf Barabási, Albert-László. ''Network Science: Evolving Networks''., p. 3]</ref> 老化现象的例子可参照 Facebook 超越了网络中最大的枢纽 Google (自2000年以来最大的节点)。{{Citation needed|date=May 2016}}
当旧的枢纽被隐藏在网络中时，这种现象便在真实网络中出现。这种现象导致了网络演化和拓扑结构的变化。<ref>[http://barabasi.com/networksciencebook/content/book_chapter_6.pdf Barabási, Albert-László. ''Network Science: Evolving Networks''., p. 3]</ref> 老化现象的例子可参照 Facebook 超越了网络中最大的枢纽 Google (自2000年以来最大的节点)。
=== '''<font color="#ff8000">鲁棒性和攻击容忍度 Robustness and Attack Tolerance</font>''' ===
=== '''<font color="#ff8000">鲁棒性和攻击容忍度 Robustness and Attack Tolerance</font>''' ===