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相关概念视频

Social Exchange Theory02:06

Social Exchange Theory

34.5K
We have discussed why we form relationships, what attracts us to others, and different types of love. But what determines whether we are satisfied with and stay in a relationship? One theory that provides an explanation is social exchange theory. According to social exchange theory, we act as naïve economists in keeping a tally of the ratio of costs and benefits of forming and maintaining a relationship with others (Rusbult & Van Lange, 2003).
34.5K
Types of Genetic Transfer Between Organisms02:18

Types of Genetic Transfer Between Organisms

28.0K
Genetic transfer occurs when genetic information is passed from one organism to another. It occurs via two mechanisms: vertical gene transfer and horizontal gene transfer. Vertical gene transfer occurs when genetic information is transferred from one generation to the next, which happens much more frequently than horizontal gene transfer. Both sexual and asexual reproduction are forms of vertical gene transfer, where one or more organisms pass some or all of their genome onto their progeny.
28.0K
Social Loafing01:37

Social Loafing

34.8K
Another way in which a group presence can affect performance is social loafing—the exertion of less effort by a person working together with a group. Social loafing occurs when our individual performance cannot be evaluated separately from the group. Thus, group performance declines on easy tasks (Karau & Williams, 1993). Essentially individual group members loaf and let other group members pick up the slack. Because each individual’s efforts cannot be evaluated,...
34.8K
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

58.4K
In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
58.4K
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

8.0K
While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
8.0K
Evolutionary Psychology01:20

Evolutionary Psychology

277
Evolutionary psychology explores the origins of human behavior and mental processes by framing them within the context of natural selection, a theory famously propounded by Charles Darwin. This field asserts that many behaviors common across human societies — ranging from instinctive fear reactions to complex social interactions — arose as evolutionary adaptations. These adaptations enhanced the survival and reproductive success of our ancestors, thereby becoming embedded in the...
277

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相关实验视频

Updated: Jul 11, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
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网络特征驱动开放式协作系统中的知识演变.

Ruqin Ren1, Jia He1

  • 1Institute of Cultural and Creative Industry, Shanghai Jiao Tong University, Shanghai, China.

PloS one
|November 14, 2023
PubMed
概括
此摘要是机器生成的。

这项研究表明,嵌入性和连接性等网络特征预测了协作网络中的知识演变. 虽然网络特征很重要,但与内容特征相比,它们在推动进化方面没有显著差异.

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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
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A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
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A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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科学领域:

  • 文化演变的文化演变.
  • 分析社会网络分析.
  • 知识管理知识管理

背景情况:

  • 了解集体知识发展的动态对于各种领域至关重要.
  • 文化进化理论为研究知识如何在人口中演变提供了一个框架.
  • 以前的研究已经探索了网络结构在进化过程中的作用.

研究的目的:

  • 调查协作网络特征如何影响人口和文物层面的知识演变.
  • 为了比较网络特征与内容特征对知识演变的选择性压力.
  • 识别特定的网络特征,预测未来的文物开发轨迹.

主要方法:

  • 在163周的时间里,对910件文物 (WikiProject Aquarium Fishes文章) 的网络数据进行了分析.
  • 进行了两项研究:一项是检查选择压力,另一项是使用时间序列分析.
  • 第一项研究将10个网络特征与11个内容特征进行了比较.

主要成果:

  • 网络特征对于识别自然选择压力至关重要,但与内容特征相比没有显著差异.
  • 三个网络特征 - - 嵌入性,连接性和冗余性 - - 曾经在很大程度上预测了未来的工件开发.
  • 这些发现表明,解决方案空间的集体探索和内容探索是知识演变的机制.

结论:

  • 网络特征和内容探索之间的相互作用为知识演变机制提供了宝贵的见解.
  • 特定的网络结构可以预测协作环境中文物开发的轨迹.
  • 对这些机制的进一步研究可以为理解和促进知识演变提供新的途径.