基于 egonet 的方法来进行有效的权重网络比较
1Department of Electronics, Information and Bioengineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133, Milano, Italy. carlo.piccardi@polimi.it.
Scientific reports
|July 2, 2025
概括
本研究引入了用于比较加权网络的新的无对齐指标,这对于分析复杂系统至关重要. 这些新的图形不相似度措施有效地对网络模型进行分类,并识别金融市场的异常.
科学领域:
- 网络科学 网络科学
- 数据分析 数据分析
- 计算科学 计算科学
背景情况:
- 在许多领域,比较图表是必不可少的,但对加权网络的方法是有限的.
- 现有的指标经常忽略连接强度,可能导致不准确的分析.
- 权重网络分析需要专门的不相似度指标.
研究的目的:
- 为非定向加权网络引入一个新的无对齐不相似度测量家族.
- 解决加权图表比较现有指标的局限性.
- 提供用于识别网络相似性和异常的工具.
主要方法:
- 开发了基于 egonet 特性分布的无对齐指标.
- 度量不需要节点对应,可以比较不同大小的网络.
- 在对加权网络模型的测试台上评估的指标用于分类任务.
主要成果:
- 拟议的指标在网络模型分类中实现了最先进的性能.
- 在评估图形过方案方面表现出有效性.
- 在金融不稳定期间成功识别了股票市场相关图的异常.
结论:
- 新的指标提供了一个强大的方法来比较加权网络.
- 适用于各种任务,包括网络过和金融数据异常检测.
- 通过基于特征分布的,无对齐的方法推进网络比较领域.
相关概念视频
Weighted Mean
5.4K
While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
5.4K
Protein Networks
4.1K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.1K
Equivalent Resistance
600
In circuit analysis, situations often arise where resistors are neither in series nor parallel configurations. To tackle such scenarios, three-terminal equivalent networks like the wye (Y) (Figure 1 (a)) or tee (T) and delta (Δ) (Figure 1 (b)) or pi (π) networks come into play. These networks offer versatile solutions and are frequently encountered in various applications, including three-phase electrical systems, electrical filters, and matching networks.
600
Network Function of a Circuit
395
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.
395
Multiple Comparison Tests
4.0K
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
4.0K
Pharmacokinetic Models: Comparison and Selection Criterion
153
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
153


