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→传播效应 Spreading phenomenon
'''<font color="#ff8000">完全度相关 Perfect Degree Correlation</font>'''意味着每个度值为k的节点只连接到相同度值的节点。节点之间的这种链接决定了网络的拓扑结构，从而影响了上文所讨论的网络鲁棒性。如果枢纽之间的链接数量与随机模式下的期望值相同，我们将这个网络称为'''<font color="#ff8000">中性网络 Neutral Network</font>'''。如果枢纽倾向于相互连接，同时避免链接到小度节点，我们将这个网络称为'''<font color="#ff8000">同配网络 Assortative Network</font>'''。这种网络的抗毁性相对较强，因为枢纽形成了一个核心团体，这对枢纽的移除来说是更加冗余的。如果枢纽避免相互链接，同时链接到小度节点，我们将这个网络称为'''<font color="#ff8000">异配网络 Disassortative Network</font>'''。这种网络具有'''<font color="#ff8000">中心辐射特征 Hub-and-Spoke Character</font>'''。因此，如果我们删除这种类型网络中的枢纽，可能会破坏或摧毁整个网络。
'''<font color="#ff8000">完全度相关 Perfect Degree Correlation</font>'''意味着每个度值为k的节点只连接到相同度值的节点。节点之间的这种链接决定了网络的拓扑结构，从而影响了上文所讨论的网络鲁棒性。如果枢纽之间的链接数量与随机模式下的期望值相同，我们将这个网络称为'''<font color="#ff8000">中性网络 Neutral Network</font>'''。如果枢纽倾向于相互连接，同时避免链接到小度节点，我们将这个网络称为'''<font color="#ff8000">同配网络 Assortative Network</font>'''。这种网络的抗毁性相对较强，因为枢纽形成了一个核心团体，这对枢纽的移除来说是更加冗余的。如果枢纽避免相互链接，同时链接到小度节点，我们将这个网络称为'''<font color="#ff8000">异配网络 Disassortative Network</font>'''。这种网络具有'''<font color="#ff8000">中心辐射特征 Hub-and-Spoke Character</font>'''。因此，如果我们删除这种类型网络中的枢纽，可能会破坏或摧毁整个网络。
==='''<font color="#ff8000">传播效应 Spreading phenomenon</font>''' ===
===Spreading phenomenon 传播现象===
The hubs are also responsible for effective spreading of material on network. In an analysis of disease spreading or information flow, hubs are referred to as super-spreaders. Super-spreaders may have a positive impact, such as effective information flow, but also devastating in a case of epidemic spreading such as H1N1 or AIDS. The mathematical models such as model of H1H1 Epidemic prediction <ref>{{Cite journal|first1=Duygu |last1=Balcan |first2=Hao |last2=Hu |first3=Bruno |last3=Goncalves |first4=Paolo |last4=Bajardi |first5=Chiara |last5=Poletto |first6=Jose J.|last6=Ramasco|first7=Daniela|last7=Paolotti|first8=Nicola|last8=Perra |first9=Michele |last9=Tizzoni |first10=Wouter |last10=Van den Broeck|first11=Vittoria |last11=Colizza|first12=Alessandro |last12=Vespignani|date=14 September 2009|title=Seasonal transmission potential and activity peaks of the new influenza A(H1N1): a Monte Carlo likelihood analysis based on human mobility|journal=BMC Medicine |volume=7 |issue=45 |page=29 |doi=10.1186/1741-7015-7-45 |id= |pmid=19744314 |pmc=2755471 |arxiv=0909.2417}}</ref> may allow us to predict the spread of diseases based on human mobility networks, infectiousness, or social interactions among humans. Hubs are also important in the eradication of disease. In a scale-free network hubs are most likely to be infected, because of the large number of connections they have. After the hub is infected, it broadcasts the disease to the nodes it is linked to. Therefore, the selective immunization of hubs may be the cost-effective strategy in eradication of spreading disease.
The hubs are also responsible for effective spreading of material on network. In an analysis of disease spreading or information flow, hubs are referred to as super-spreaders. Super-spreaders may have a positive impact, such as effective information flow, but also devastating in a case of epidemic spreading such as H1N1 or AIDS. The mathematical models such as model of H1H1 Epidemic prediction <ref>{{Cite journal|first1=Duygu |last1=Balcan |first2=Hao |last2=Hu |first3=Bruno |last3=Goncalves |first4=Paolo |last4=Bajardi |first5=Chiara |last5=Poletto |first6=Jose J.|last6=Ramasco|first7=Daniela|last7=Paolotti|first8=Nicola|last8=Perra |first9=Michele |last9=Tizzoni |first10=Wouter |last10=Van den Broeck|first11=Vittoria |last11=Colizza|first12=Alessandro |last12=Vespignani|date=14 September 2009|title=Seasonal transmission potential and activity peaks of the new influenza A(H1N1): a Monte Carlo likelihood analysis based on human mobility|journal=BMC Medicine |volume=7 |issue=45 |page=29 |doi=10.1186/1741-7015-7-45 |id= |pmid=19744314 |pmc=2755471 |arxiv=0909.2417}}</ref> may allow us to predict the spread of diseases based on human mobility networks, infectiousness, or social interactions among humans. Hubs are also important in the eradication of disease. In a scale-free network hubs are most likely to be infected, because of the large number of connections they have. After the hub is infected, it broadcasts the disease to the nodes it is linked to. Therefore, the selective immunization of hubs may be the cost-effective strategy in eradication of spreading disease.
The hubs are also responsible for effective spreading of material on network. In an analysis of disease spreading or information flow, hubs are referred to as super-spreaders. Super-spreaders may have a positive impact, such as effective information flow, but also devastating in a case of epidemic spreading such as H1N1 or AIDS. The mathematical models such as model of H1H1 Epidemic prediction may allow us to predict the spread of diseases based on human mobility networks, infectiousness, or social interactions among humans. Hubs are also important in the eradication of disease. In a scale-free network hubs are most likely to be infected, because of the large number of connections they have. After the hub is infected, it broadcasts the disease to the nodes it is linked to. Therefore, the selective immunization of hubs may be the cost-effective strategy in eradication of spreading disease.
The hubs are also responsible for effective spreading of material on network. In an analysis of disease spreading or information flow, hubs are referred to as super-spreaders. Super-spreaders may have a positive impact, such as effective information flow, but also devastating in a case of epidemic spreading such as H1N1 or AIDS. The mathematical models such as model of H1H1 Epidemic prediction may allow us to predict the spread of diseases based on human mobility networks, infectiousness, or social interactions among humans. Hubs are also important in the eradication of disease. In a scale-free network hubs are most likely to be infected, because of the large number of connections they have. After the hub is infected, it broadcasts the disease to the nodes it is linked to. Therefore, the selective immunization of hubs may be the cost-effective strategy in eradication of spreading disease.
枢纽还负责要素在网络上的有效传播。在疾病传播或信息流动的分析中，枢纽被称为超级传播者。超级传播者可能会产生积极的影响，如有效的信息流动，但在H1N1或艾滋病等流行病传播的情况下也会产生毁灭性的影响。如H1H1流行病预测等数学模型，可以基于人类流动网络，传染性，或人与人之间的社会互动，让我们预测疾病的传播。在消灭疾病方面，枢纽也很重要。在无标度网络中，枢纽是最有可能被感染的，因为他们有大量的链接。在枢纽被感染后，它将将疾病传播到它所链接的节点。因此，选择性免疫那些枢纽可能是消灭传播性疾病的成本效率最高的策略。
== References ==
== References ==