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相关概念视频

Cluster Sampling Method01:20

Cluster Sampling Method

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Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
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Sampling Plans01:23

Sampling Plans

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Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
180
Systematic Sampling Method01:17

Systematic Sampling Method

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
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Sampling Methods: Overview01:06

Sampling Methods: Overview

309
A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling. 
In analytical chemistry, the choice of...
309
Random Sampling Method01:09

Random Sampling Method

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
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Convenience Sampling Method00:55

Convenience Sampling Method

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
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相关实验视频

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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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采样未知大型网络受限于较低的采样率.

Bo Jiao1

  • 1School of Information Science and Technology, Xiamen University Tan Kah Kee College, Zhangzhou, 363123, Fujian, China. jiaoboleetc@outlook.com.

Scientific reports
|June 10, 2024
PubMed
概括

本研究引入了一种用于大型网络的新图谱采样方法 (SLSR). 即使采用较低的采样率,SLSR也有效地保留了关键网络结构,优于传统方法.

科学领域:

  • 数据挖掘 数据挖掘
  • 网络分析 网络分析
  • 图形理论 图形理论

背景情况:

  • 图表采样对于大型网络数据挖掘至关重要.
  • 在大型网络中采样率低,使传统方法偏向于核心节点.
  • 现有的基于横向采样的采样与无尺度网络作斗争.

研究的目的:

  • 为低采样率的未知大型网络提出一种新型采样方法 (SLSR).
  • 解决传统方法对密集连接节点的偏差.
  • 为了准确地保存关键的网络结构.

主要方法:

  • SLSR采用随机节点采样来确定一个度值.
  • 它区分核心和边缘网络区域.
  • 对核心和外围应用双层采样策略.

主要成果:

  • 由于其简单性,SLSR表现出高时间效率.
  • 实验证实了在无尺度网络中关键结构的准确保存.
  • 这种方法即使采样率低,也能达到较低的差异.

结论:

关键词:
图表采样采样 图表采样采样率低,采样率低.没有规模的网络网络.不知名的网络网络.

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  • SLSR提供了一种有效的解决方案,以低速率对大型未知网络进行采样.
  • 该方法克服了基于横向采样的局限性.
  • 对于网络数据挖掘,SLSR提供了一种强大而高效的方法.