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相关概念视频

Social Exchange Theory02:06

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We have discussed why we form relationships, what attracts us to others, and different types of love. But what determines whether we are satisfied with and stay in a relationship? One theory that provides an explanation is social exchange theory. According to social exchange theory, we act as naïve economists in keeping a tally of the ratio of costs and benefits of forming and maintaining a relationship with others (Rusbult & Van Lange, 2003).
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Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
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For solutions containing mixtures of different cations, the identity of each cation can be determined by qualitative analysis. This technique involves a series of selective precipitations with different chemical reagents, each reaction producing a characteristic precipitate for a specific group of cations. Metal ions within a group are further separated by varying the pH, heating the mixture to redissolve a precipitate, or adding other reagents to form complex ions.
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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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Kendall's Coefficient of Concordance (W), also known as Kendall's W, is a non-parametric statistical measure used to assess the agreement or concordance between multiple raters or judges when they rank a set of items. It is often used when you have ordinal data (ranks) and you want to see if there is consistency or consensus among the raters. It is widely applied in research areas such as psychology, medicine, and social sciences, where multiple judges are asked to rank or rate subjects...
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补充和竞争对手:在一个协作编码平台上检查技术共传播和相关性.

Antonio D Sirianni1,2, Jonathan H Morgan3,4, Nikolas Zöller4,5

  • 1Department of Sociology, Dartmouth College, 20 N Main St, Hanover, NH 03755, USA.

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概括
此摘要是机器生成的。

技术之间的功能关联推动了它们的共同传播. 这项研究表明,编码语言的凝聚力如何预测互补的采用,而等价性则表明竞争,影响用户网络的传播.

关键词:
计算社会科学 计算社会科学扩散扩散是一种扩散.创新 创新 创新 创新 创新网络 网络 网络 网络 网络 网络相关性 关联性 关联性

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科学领域:

  • 网络科学 网络科学
  • 计算社会科学 计算社会科学
  • 技术采用 技术采用

背景情况:

  • 扩散过程在连接的种群中相互作用.
  • 相关性影响着创新和技术的传播.
  • 了解共传播是预测技术采用模式的关键.

研究的目的:

  • 将经济复杂性的"相关性"概念纳入网络共传播模型.
  • 检查技术之间的功能关系如何影响它们的传播.
  • 在GitHub上分析编码语言的传播.

主要方法:

  • 开发了一种使用"产品空间"概念的网络共传播模型.
  • 基于GitHub共发生的编码语言之间的计算功能凝聚力和等价性.
  • 从语言采用/放弃数据中测量了补充和替代传播率.
  • 用于网络回归分析的多重回归二次分配程序 (MR-QAP).

主要成果:

  • 强有力的证据表明,功能凝聚力积极预测编码语言的互补扩散.
  • 有限的证据表明,功能等价性预测了替代性 (竞争性) 扩散.
  • 相关性原则显著影响联合传播动态.

结论:

  • 扩散过程之间的功能依赖是它们传播的关键决定因素.
  • 技术相关性,特别是功能凝聚力,是互补采用的关键预测因素.
  • 研究结果提供了对复杂技术生态系统中创新传播的见解.