Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Framing Effects03:26

Framing Effects

Information is everywhere and its presentation—such as how and when items are presented—can impact our perceptions and decisions surrounding the info. This broad concept umbrellas framing effects—influences that occur due to the way information is framed in its appearance, whether it’s purely the order or the specific wording of a message. Let’s take a look at numerous ways in which two versions of something can objectively say the same thing, yet we respond in different ways based on the...
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
Causes of Social Behavior II: Cognitive Processes01:15

Causes of Social Behavior II: Cognitive Processes

Cognitive processes affect social behavior by guiding how individuals perceive, interpret, and respond to social stimuli. These mental processes enable individuals to assess others' behaviors, attribute causes to their actions, and form expectations based on past experiences.Causes of Behavior and Social JudgmentsIndividuals determine the causes of others' behaviors by distinguishing between personal traits and external circumstances. For example, if a friend frequently arrives late, an...

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

The microscale organization of directed hypergraphs.

Communications physics·2026
Same author

Infection patterns in simple and complex contagion processes on networks.

PLoS computational biology·2024
Same author

Temporal clustering of social interactions trades-off disease spreading and knowledge diffusion.

Journal of the Royal Society, Interface·2024
Same author

Interplay between mobility, multi-seeding and lockdowns shapes COVID-19 local impact.

PLoS computational biology·2021
Same author

Framing in multiple public goods games and donation to charities.

Royal Society open science·2021
Same author

Anatomy of digital contact tracing: Role of age, transmission setting, adoption, and case detection.

Science advances·2021
Same journal

Research on a Regional Availability Evaluation Model for Road-Area High-Entropy Energy Based on Synergy Factors.

Entropy (Basel, Switzerland)·2026
Same journal

Atmospheric Turbulence Channel Modeling and Performance Analysis of a CO-ZP-OFDM Coherent Optical Communication System for UAV Air-to-Ground Scenarios.

Entropy (Basel, Switzerland)·2026
Same journal

Information Geometry and Asymptotic Theory for SMML Estimators.

Entropy (Basel, Switzerland)·2026
Same journal

Correlation Entropy and Power-Law Kinetics.

Entropy (Basel, Switzerland)·2026
Same journal

Research on the Contagion of Systemic Financial Risk Under the Impact of Climate Risks-From the Perspective of Complex Networks and Machine Learning.

Entropy (Basel, Switzerland)·2026
Same journal

The Statistical-Mechanical Meaning of the Wave Function of Quantum Mechanics.

Entropy (Basel, Switzerland)·2026
查看所有相关文章

相关实验视频

Updated: Jun 4, 2026

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients
09:32

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Published on: December 18, 2016

12.4K

时间网络中的模式与更高层次的自我中心结构

Beatriz Arregui-García1, Antonio Longa2, Quintino Francesco Lotito2

  • 1Instituto de Física Interdisciplinar y Sistemas Complejos IFISC (CSIC-UIB), Campus UIB, 07122 Palma de Mallorca, Spain.

Entropy (Basel, Switzerland)
|March 28, 2024
PubMed
概括
此摘要是机器生成的。

分析复杂的社会动态需要新的方法. 我们引入了超自我中心的时间社区来捕捉群体相互作用,揭示了更高阶结构显著解释了时间网络数据的变化.

关键词:
图案 图案 图案 图案社交互动 社交互动时间超图的时间超图.

更多相关视频

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
11:52

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

5.9K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.1K

相关实验视频

Last Updated: Jun 4, 2026

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients
09:32

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Published on: December 18, 2016

12.4K
Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
11:52

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

5.9K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.1K

科学领域:

  • 复杂系统科学 复杂系统科学
  • 网络科学 网络科学
  • 社交网络分析 社交网络分析

背景情况:

  • 时间网络模拟时间演变的相互作用,但往往专注于双对关系.
  • 现有的自我中心的时空邻居措施忽视了社会系统中常见的群体互动.
  • 高级网络为分析群体相互作用提供了一个框架.

研究的目的:

  • 为了将自我中心的时空邻近分析泛化为使用超图的更高阶交互.
  • 为分析复杂的社会动态引入"超自我中心的时间社区"的概念.
  • 评估高阶相互作用对时间网络分析的影响.

主要方法:

  • 将时间网络泛化为超图来表示群体相互作用.
  • 定义和应用"超自我中心的时间社区"用于网络分解.
  • 分析时间网络数据,包括二次相互作用 (三重组).

主要成果:

  • 提出的超自我中心的时间社区有效地捕捉了更高阶的社会互动.
  • 第二阶层结构 (三胞胎) 占数据变化的大部分.
  • 这种变化在不同的数据集,节点之间以及随着时间的推移而观察到.

结论:

  • 高级表示对于全面了解时间社会网络至关重要.
  • 超自我中心的时间社区为分析复杂的,基于群体的互动提供了强大的工具.
  • 这些发现强调了在复杂系统中超越对对分析的重要性.