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相关概念视频

Outliers and Influential Points01:08

Outliers and Influential Points

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An outlier is an observation of data that does not fit the rest of the data. It is sometimes called an extreme value. When you graph an outlier, it will appear not to fit the pattern of the graph. Some outliers are due to mistakes (for example, writing down 50 instead of 500), while others may indicate that something unusual is happening. Outliers are present far from the least squares line in the vertical direction. They have large "errors," where the "error" or residual is the...
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One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

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This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
398
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

42
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
42
Column Efficiency: Rate Theory01:12

Column Efficiency: Rate Theory

280
The rate theory of chromatography provides quantitative insight into the shapes and widths of elution bands. These bands are based on the random-walk mechanism governing molecular migration within a column. The Gaussian profile of chromatographic bands arises from the cumulative effect of random molecular motions as they progress through the column.
During elution, a solute molecule experiences numerous transitions between stationary and mobile phases, exhibiting irregular residence times in...
280
Randomized Experiments01:13

Randomized Experiments

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The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
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Cluster Sampling Method01:20

Cluster Sampling Method

11.6K
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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相关实验视频

Updated: Jun 7, 2025

A System for Tracking the Dynamics of Social Preference Behavior in Small Rodents
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A System for Tracking the Dynamics of Social Preference Behavior in Small Rodents

Published on: November 21, 2019

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具有预算意识的局部影响代算法,用于在社交网络中有效地最大化影响力.

Lingfei Li1, Yingxin Song2, Wei Yang1

  • 1School of Management, Hangzhou Dianzi University, Hangzhou, 310018, China.

Heliyon
|November 18, 2024
PubMed
概括
此摘要是机器生成的。

本研究引入了一种新的成本模型和预算意识的局部影响代 (BLII) 算法,以有效地解决预算影响最大化 (BIM) 问题. 与现有方法相比,BLII算法显著改善了影响力传播.

关键词:
预算影响最大化影响最大化.成本模型是成本模型.基于代理的算法基于代理的算法社交网络 社交网络

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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
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相关实验视频

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科学领域:

  • 社交网络分析 社交网络分析
  • 计算社会科学 计算社会科学
  • 信息科学 信息科学 信息科学

背景情况:

  • 预算影响最大化 (BIM) 问题在预算限制范围内寻求最佳种子节点.
  • 现有的BIM算法难以平衡速度和准确性.
  • 实际的BIM应用需要一个精细的成本模型和高效的算法.

研究的目的:

  • 为预算影响最大化 (BIM) 问题开发一个高效的算法.
  • 基于实证的社交媒体数据,提出一个精细的成本模型.
  • 为了提高影响力最大化的及时性和有效性之间的平衡.

主要方法:

  • 通过对微博报价数据的实证分析,开发了一种精细的成本模型.
  • 引入了预算意识的局部影响代 (BLII) 算法,一种基于代理的方法.
  • 通过一次性影响和通过代更新管理的重叠来估计全球影响.

主要成果:

  • 在比较实验中,BLII算法表现出卓越的有效性和效率.
  • 在影响力扩散方面,BLII比其他基于代理的算法表现优于20% - 255%.
  • 与基于模拟的最先进方法相比,实现了96%的改进,运行时间合理.

结论:

  • 拟议的成本模型和BLII算法为BIM问题提供了新的见解.
  • 在预算影响最大化方面,BLII提供了一种强大而有效的工具,用于识别种子节点.
  • 该研究解决了在网络影响分析中对及时有效解决方案的关键需求.