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| 不幸的是,快照与电影的类比也揭示了这种方法的主要困难: 使用的时间步骤很少由网络给出,而是任意的。在每个快照之间使用极小的时间步骤可以保持分辨率,但实际上可能掩盖了只有在较长时间尺度下才能看到的更广泛的趋势。相反,使用较大的时间尺度会失去每个快照中事件的时间顺序。因此,可能很难找到合适的时间尺度来将网络的演变划分为静态快照。 | | 不幸的是,快照与电影的类比也揭示了这种方法的主要困难: 使用的时间步骤很少由网络给出,而是任意的。在每个快照之间使用极小的时间步骤可以保持分辨率,但实际上可能掩盖了只有在较长时间尺度下才能看到的更广泛的趋势。相反,使用较大的时间尺度会失去每个快照中事件的时间顺序。因此,可能很难找到合适的时间尺度来将网络的演变划分为静态快照。 |
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− | ===Define dynamic properties=== | + | ===Define dynamic properties 定义动力学性质=== |
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| It may be important to look at properties which cannot be directly observed by treating evolving networks as a sequence of snapshots, such as the duration of contacts between nodes<ref name="Impact of human mobility on the | | It may be important to look at properties which cannot be directly observed by treating evolving networks as a sequence of snapshots, such as the duration of contacts between nodes<ref name="Impact of human mobility on the |
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| It may be important to look at properties which cannot be directly observed by treating evolving networks as a sequence of snapshots, such as the duration of contacts between nodes<ref name="Impact of human mobility on the | | It may be important to look at properties which cannot be directly observed by treating evolving networks as a sequence of snapshots, such as the duration of contacts between nodes<ref name="Impact of human mobility on the |
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− | 将进化中的网络视为一系列快照,可能不能直接观察到这些特性,这一点可能很重要,例如节点之间的接触时间,参考名称“人类活动对网络的影响”
| + | 那些将演化网络视为一系列快照不能直接观察到的特性可能很重要,例如节点之间的接触时间。可以定义其他类似的属性,然后可以通过网络的演化来跟踪这些属性,并直接可视化它们。 |
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| design of opportunistic forwarding algorithms">{{Cite journal | | design of opportunistic forwarding algorithms">{{Cite journal |
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| }}</ref> Other similar properties can be defined and then it is possible to instead track these properties through the evolution of a network and visualize them directly. | | }}</ref> Other similar properties can be defined and then it is possible to instead track these properties through the evolution of a network and visualize them directly. |
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− | } / ref 可以定义其他类似的属性,然后可以通过网络的演化来跟踪这些属性,并直接可视化它们。 | + | } / ref |
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| Another issue with using successive snapshots is that only slight changes in network topology can have large effects on the outcome of algorithms designed to find communities. Therefore, it is necessary to use a non classical definition of communities which permits following the evolution of the community through a set of rules such as birth, death, merge, split, growth, and contraction.<ref name="Quantifying social group evolution">{{Cite journal | | Another issue with using successive snapshots is that only slight changes in network topology can have large effects on the outcome of algorithms designed to find communities. Therefore, it is necessary to use a non classical definition of communities which permits following the evolution of the community through a set of rules such as birth, death, merge, split, growth, and contraction.<ref name="Quantifying social group evolution">{{Cite journal |
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− | 使用连续快照的另一个问题是,在网络拓扑中只有微小的变化可以对用于寻找社区的算法的结果产生巨大的影响。因此,有必要使用一个非古典的社区定义,它允许通过一系列的规则,如出生、死亡、合并、分裂、生长和收缩,跟随社区的演变。 量化社会群体进化{ Cite journal
| + | 使用连续快照的另一个问题是,在网络拓扑中微小的变化可以对用于寻找网络社区的算法的结果产生巨大的影响。因此,有必要使用一个非经典的社区定义,它允许通过一系列的规则,如出生、死亡、合并、分裂、生长和收缩,跟随社区的演变。 |
| + | 量化社会群体进化{ Cite journal |
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| | author1 = G. Palla | | | author1 = G. Palla |