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Social network schemas and the learning of incomplete networks

机译:社交网络模式和不完整网络的学习

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Social networks that are missing relations among some of their members-termed incomplete networks- have been of critical theoretical and empirical interest in sociological research on weak ties and structural holes but typically have been overlooked in social psychological studies of network learning. Five studies tested for schematic processing differences in the encoding and recalling of incomplete networks. In Studies 1 and 2, prior knowledge of missing relations facilitated learning an unfamiliar, incomplete network. Study 3 ruled out differences in general pattern recognition ability as an explanation. Study 4 manipulated the degree of familiarity with missing relations, which produced predicted differences in learning rates. Finally, Study 5 examined how improved learning of an incomplete network affected a strategic organizational choice. The findings suggest that people can become schematic for complex, incomplete social networks.
机译:在一些成员之间缺乏联系的社会网络(称为不完整网络)在社会关系弱点和结构漏洞的研究中具有重要的理论和经验意义,但在网络学习的社会心理学研究中通常被忽略。有五项研究测试了不完整网络的编码和调用中的示意图处理差异。在研究1和2中,对缺失关系的先验知识有助于学习一个陌生的,不完整的网络。研究3排除了一般模式识别能力的差异作为解释。研究4操纵了对缺失关系的熟悉程度,从而产生了预期的学习率差异。最后,研究5研究了如何改善对不完整网络的学习如何影响战略性组织选择。研究结果表明,人们可以成为复杂,不完整的社交网络的示意图。

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