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基于经验和理论的研究,静态网络上定义的中心性的概念可以拓展到时序网络中的动态中心性。<ref name="dynamic1">{{cite journal | last1 = Braha | first1 = D. | last2 = Bar-Yam | first2 = Y. | year = 2006 | title = From Centrality to Temporary Fame: Dynamic Centrality in Complex Networks | url = | journal = Complexity | volume = 12 | issue = 2| pages = 59–63 | doi=10.1002/cplx.20156| arxiv = physics/0611295 | bibcode = 2006Cmplx..12b..59B }}</ref><ref name="dynamic2">{{cite journal | last1 = Hill | first1 = S.A. | last2 = Braha | first2 = D. | year = 2010 | title = Dynamic Model of Time-Dependent Complex Networks | url = | journal = Physical Review E | volume = 82 | issue = 4| page = 046105 | doi=10.1103/physreve.82.046105| pmid = 21230343 | arxiv = 0901.4407 | bibcode = 2010PhRvE..82d6105H }}</ref><ref name="dynamic3">Gross, T. and Sayama, H. (Eds.). 2009. ''Adaptive Networks: Theory, Models and Applications.'' Springer.</ref><ref name="dynamic4">Holme, P. and Saramäki, J. 2013. ''Temporal Networks.'' Springer.</ref>
 
基于经验和理论的研究,静态网络上定义的中心性的概念可以拓展到时序网络中的动态中心性。<ref name="dynamic1">{{cite journal | last1 = Braha | first1 = D. | last2 = Bar-Yam | first2 = Y. | year = 2006 | title = From Centrality to Temporary Fame: Dynamic Centrality in Complex Networks | url = | journal = Complexity | volume = 12 | issue = 2| pages = 59–63 | doi=10.1002/cplx.20156| arxiv = physics/0611295 | bibcode = 2006Cmplx..12b..59B }}</ref><ref name="dynamic2">{{cite journal | last1 = Hill | first1 = S.A. | last2 = Braha | first2 = D. | year = 2010 | title = Dynamic Model of Time-Dependent Complex Networks | url = | journal = Physical Review E | volume = 82 | issue = 4| page = 046105 | doi=10.1103/physreve.82.046105| pmid = 21230343 | arxiv = 0901.4407 | bibcode = 2010PhRvE..82d6105H }}</ref><ref name="dynamic3">Gross, T. and Sayama, H. (Eds.). 2009. ''Adaptive Networks: Theory, Models and Applications.'' Springer.</ref><ref name="dynamic4">Holme, P. and Saramäki, J. 2013. ''Temporal Networks.'' Springer.</ref>
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===Node influence===
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{{Main|Node influence metric}}
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Limitations to centrality measures have led to the development of more general measures.
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Two examples are
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the '''accessibility''', which uses the diversity of random walks to measure how accessible the rest of the network is from a given start node,<ref name="Travencolo2008">{{ cite journal| last1=Travençolo |first1=B. A. N. |last2=da F. Costa| first2 =L.| title=Accessibility in complex networks| journal=Physics Letters A| year=2008|volume=373|issue=1|pages=89–95 |doi=10.1016/j.physleta.2008.10.069 |bibcode=2008PhLA..373...89T }}</ref>
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and the '''expected force''',  derived from the expected value of the [[force of infection]] generated by a node.<ref name="Lawyer2015"/>
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Both of these measures can be meaningfully computed from the structure of the network alone.
      
===节点影响力===
 
===节点影响力===
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