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相关概念视频

Relationship Formation02:12

Relationship Formation

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What do you think is the single most influential factor in determining with whom you become friends and whom you form romantic relationships? You might be surprised to learn that the answer is simple: the people with whom you have the most contact. This most important factor is proximity. You are more likely to be friends with people you have regular contact with. For example, there are decades of research that shows that you are more likely to become friends with people who live in your dorm,...
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Group Polarization

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Group polarization is the strengthening of an original group attitude following the discussion of views within a group (Teger & Pruitt, 1967). That is, if a group initially favors a viewpoint, after discussion the group consensus is likely a stronger endorsement of the viewpoint. Conversely, if the group was initially opposed to a viewpoint, group discussion would likely lead to stronger opposition.
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In- and Out-Groups

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People all belong to a gender, race, age, and social economic group. These groups provide a powerful source of our identity and self-esteem (Tajfel & Turner, 1979) and serve as our in-groups. An in-group is a group that we identify with or see ourselves as belonging to.
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Cross-Sectional Research

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In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
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Profile Leveling and Cross Sections

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Profile leveling and cross-sections are surveying methods used to determine and document terrain elevations for infrastructure projects such as highways, railroads, canals, and pipelines. These methods provide data for earthwork planning and alignment of proposed routes.  Profile leveling involves measuring elevations along a fixed line to create a vertical terrain profile. A surveyor sets up a leveling instrument at the benchmark (BM) and records a backsight (BS) to determine the...
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Structural Classification of Joints01:20

Structural Classification of Joints

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Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
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相关实验视频

Updated: Jul 1, 2025

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
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Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

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基于跨社会网络中稳定的主题的多粒度对齐方法.

Jing Lu1, Qikai Gai1

  • 1School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China.

PeerJ. Computer science
|March 4, 2024
PubMed
概括

本研究介绍了稳定主题-卢温 (ST-L) 准确的跨社交网络用户对齐. 该方法增强了社区检测和代对齐,提高了边缘用户的准确性.

科学领域:

  • 社交网络分析 社交网络分析
  • 数据挖掘 数据挖掘
  • 计算社会科学 计算社会科学

背景情况:

  • 跨社交网络用户对齐面临的挑战是隐私政策阻碍了完全用户功能提取.
  • 由于大量边缘用户,现有的组对齐方法的准确性较低.

研究的目的:

  • 开发一种用于跨社交网络准确和多细分化用户对齐的新方法.
  • 解决当前对齐技术中的隐私保护和边缘用户不准确性的局限性.

主要方法:

  • 利用用户生成的内容 (UGC) 通过嵌入式主题动时间来提取稳定的主题.
  • 更新使用矢量距离的用户边缘权重,并采用改进的卢旺算法 (稳定主题-卢旺,ST-L) 进行多级社区检测.
  • 实现从粗粒度社区到细粒度子社区的代对齐,以实现用户级对齐.

主要成果:

  • 稳定主题-卢温 (ST-L) 算法有效地执行多级社区检测,没有预定义的标签.
  • 代对齐过程成功地解决了与边缘用户在单个颗粒度相关的低准确性问题.
  • 拟议的方法证明了在跨社交网络用户对齐方面提高了准确性.

结论:

  • 开发的ST-L方法提供了一个强大的解决方案,用于在跨社交网络场景中准确地对准用户.
关键词:
社区检测检测发现模糊的特征 模糊的特征多粒度用户对齐方式社交网络 社交网络稳定的话题 稳定的话题

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  • 多颗粒度对齐方法通过代地改进社区结构来提高精度.
  • 该方法的有效性是通过实践数据集的实验来验证的.