Decay functions
Decay functions
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DOI：
10.1016/s0378-8733(99)00015-5
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发表时间：
2000-01-01
期刊：
影响因子：
3.1
通讯作者：
Burt, RS
中科院分区：
文献类型：
--
作者：
Burt, RS
关系弱化和消失的趋势我讨论为衰变，描述随时间衰减率的函数我讨论为衰变函数。四年的网络数据支持了三个结论，这些数据来自一家金融机构的银行家及其同事的研究人群。(1)从横截面证据中得知，与牢固关系相关的因素与关系衰退缓慢相关；有牢固关系(惰性)、在同一公司部门工作(同形)、在银行家的社会等级中突出(地位)、或通过许多第三方间接联系(嵌入)的同事之间的关系衰退较慢。(2)尽管在某些关系中衰退较慢，但随着时间的推移，衰退有一种模式，类似于归因于选择和学习的种群生态“新的倾向”，同时增加了网络和人的老龄化的复杂性。衰退是时间的幂函数，其中衰退的概率随着年龄(关系存在的年份)和节点年龄(银行家在研究人群中的年份)而降低。(3)嵌入稳定性对旧关系的稳定性有较大影响。年龄的衰变抑制效应发生在嵌入被破坏的地方，而不是嵌入持续的地方。第三个结论很有趣，因为它强调了社会结构的一阶导数是一个因果变量：嵌入必须衡量其变化，而不是水平，才能看到它对关系衰退的两种截然不同的影响。(C)2000 Elsevier Science B.V.保留所有权利。
The tendency for relationships to weaken and disappear I discuss as decay, and functions describing the rate of decay over time I discuss as decay functions. Three conclusions are supported with 4 years of network data on a study population of bankers and their colleagues in a financial organization. (1) Factors known from cross-sectional evidence to be associated with strong relationships are associated with slow decay; decay is slower in relations between colleagues with a strong prior relationship (inertia), working in the same corporate division (homophily), prominent in the social hierarchy of bankers (status), or connected indirectly through many third parties (embedding). (2) Regardless of slower decay in certain relations, decay has a pattern over time similar to the population ecology "liability of newness" attributed to selection and learning, with the added complication of networks and people aging simultaneously. Decay is a power function of time in which the probability of decay decreases with tie age (years for which a relationship has existed) and node age (years for which a banker has been in the study population). (3) Embedding stability is responsible for the greater stability of older relationships. The decay-inhibiting effects of age occur where embedding is disrupted but not where embedding is continuous. The third conclusion is interesting in highlighting the first derivative of social structure as a causal variable: embedding has to be measured for its change, rather than level, to see both of its distinct effects on relationship decay. (C) 2000 Elsevier Science B.V. All rights reserved.