在使用波纳契功率测量时选择“β”参数

Q2 Social Sciences Journal of Social Structure Pub Date : 2011-01-01 DOI:10.21307/JOSS-2019-032
Simon Rodan
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引用次数: 10

摘要

Bonacich(1987)提出了一系列中心性度量,为权力和网络约束问题的建模提供了一种有用的方法。然而,文献对β的选择提供了很少的指导,β是一个参数,它改变了衡量在一个网络中拥有强大联系的影响的方式。本文探讨了β参数的选择对波那契测度产生的功率指标的影响。我考虑了三种可能影响β的选择影响波纳契幂指数的网络性质。我发现,在高密度的网络中,内部“链”和垂坠很少,β的选择在很大程度上是无关紧要的。相反,在稀疏网络中,那些具有高比例的垂节点或具有许多链的网络中,β的值对度量产生的功率指标有实质性影响。接下来,我考虑由β的内部值产生的功率指数是否可以表示为“纯”向量的线性组合,这些向量在参数范围的两端和β = 0产生的β值。我发现,在绝大多数情况下,“纯”向量幂的线性组合相当于使用由β的内部值产生的指标,这使得β的选择在很大程度上没有意义。最后,在这种不太可能的情况下,这种分解是不合适的,我讨论了确定一个适当的β值的问题。
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Choosing the ‘β’ Parameter When Using the Bonacich Power Measure
Abstract Bonacich (1987) suggested a family of centrality measures that provide a useful way of modeling questions of power and network constraint. However, the literature offers little guidance regarding the choice of β, the parameter which alters the way the measure accounts for the effect of having powerful contacts in ones network. In this paper I explore the way the choice of the β parameter affects the power indices the Bonacich measure generates. I consider three network properties which might affect the way the choice of β influences the Bonacich power indices. I find that in high density networks with few internal ‘chains’ and few pendants, the choice of β is largely immaterial. Conversely, in sparse networks, those with a high proportion of pendant nodes, or those with many chains, the value of β has a substantial effect on the power indices the measure generates. Next I consider whether power indices produced by interior values of β might be represented as a linear combination of “pure” vectors, those generated with values of β at either end of the parameter range and β = 0. I find that in the vast majority of cases a linear combination of “pure” vectors power is equivalent to using indices produced by interior values of β, making the choice of β largely moot. Finally, in the unlikely case that this disaggregation is inappropriate, I discuss the question of determining an appropriate value of β empirically.
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来源期刊
Journal of Social Structure
Journal of Social Structure Social Sciences-Sociology and Political Science
CiteScore
1.30
自引率
0.00%
发文量
0
审稿时长
24 weeks
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