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相关概念视频

Network Function of a Circuit01:25

Network Function of a Circuit

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Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
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Uniform Distribution01:19

Uniform Distribution

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The uniform distribution is a continuous probability distribution of events with an equal probability of occurrence. This distribution is rectangular.
Two essential properties of this distribution are
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Distribution and Dispersion00:54

Distribution and Dispersion

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To understand intra-specific interactions in populations, scientists measure the spatial arrangement of species individuals. This geographic arrangement is known as the species distribution or dispersion. Highly territorial species exhibit a uniform distribution pattern, in which individuals are spaced at relatively equal distances from one another. Species that are highly tied to particular resources, such as food or shelter, tend to concentrate around those resources, and thus exhibit a...
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Central Limit Theorem01:14

Central Limit Theorem

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The central limit theorem, abbreviated as clt, is one of the most powerful and useful ideas in all of statistics. The central limit theorem for sample means says that if you repeatedly draw samples of a given size and calculate their means, and create a histogram of those means, then the resulting histogram will tend to have an approximate normal bell shape. In other words, as sample sizes increase, the distribution of means follows the normal distribution more closely.
The sample size, n, that...
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Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

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An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
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Propagation of Waves01:07

Propagation of Waves

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When a wave propagates from one medium to another, part of it may get reflected in the first medium, and part of it may get transmitted to the second medium. In such a case, the interface of the two mediums can be considered as a boundary that is neither fixed nor free.
Consider a scenario where a wave propagates from a string of low linear mass density to a string of high linear mass density. In such a case, the reflected wave is out of phase with respect to the incident wave, however the...
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Funnel theorems for spreading on networks.

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Modeling the Functional Network for Spatial Navigation in the Human Brain
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在网络上传播的普遍限制.

Gadi Fibich1, Tomer Levin1

  • 1Department of Applied Mathematics, School of Mathematical Sciences, Tel Aviv University, Tel Aviv 6997801, Israel.

Chaos (Woodbury, N.Y.)
|May 8, 2024
PubMed
概括

社交网络上的创新传播受到同行影响的影响. 这项研究为采用率提供了严格的下限和上限,即使网络结构是未知的,使用Bass模型对特定网络类型.

科学领域:

  • 社交网络分析 社交网络分析
  • 创新的传播理论
  • 随机过程 随机过程

背景情况:

  • 创新传播依赖于社交网络和同行效应 (口碑).
  • 网络结构对随时间推移的整体采用速度产生重大影响.
  • 在现实世界的创新传播场景中,网络结构通常是未知的.

研究的目的:

  • 估计未知的社交网络上的创新随时间推移的总体采用水平.
  • 建立创新传播率的理论界限.
  • 分析网络结构对采用概率的影响.

主要方法:

  • 使用Bass模型,这是采用新产品的标准模型.
  • 在两个特定的网络结构上分析扩散动态:一个均的双节点网络和一个均的无限完整网络.
  • 导出预期采用水平和个人采用概率的明确下限和上限.

主要成果:

  • 最低和最大的采用水平分别在同质的双节点和无限完整网络上实现.
  • 对于任何网络结构来说,对预期采用水平的明确,严格的下限和上限都得到了推导.
  • 这些边界准确地预测了个人的采用概率.
  • 边界之间的差距随着内部与外部影响率的增加而扩大.

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结论:

  • 导出的边界提供了一个可靠的方法来估计在未知网络上的创新扩散.
  • 这些发现适用于理解口碑营销和技术采用.
  • 即使没有完整的信息,网络结构在传播中的作用也可以受到限制.