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相关概念视频

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,...
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Stereotype Content Model02:16

Stereotype Content Model

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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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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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Social Exchange Theory02:06

Social Exchange Theory

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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).
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High-Level and Low-Level Awareness01:19

High-Level and Low-Level Awareness

275
Controlled processes in human consciousness represent high-alert mental states where individuals deliberately focus their attention on achieving specific goals. Controlled processes can be seen in situations like mastering new technology, where a person might become so absorbed that they ignore surrounding distractions. Such processes involve selective attention, requiring one to concentrate on particular elements of experience while disregarding others. These are governed by executive...
275
Levels of Communication II: Organizational, Public, and Group Dynamics01:27

Levels of Communication II: Organizational, Public, and Group Dynamics

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Effective communication is the foundation of a good organization. Communication is the lifeblood of an organization that connects the group with messages. In an organization, communication occurs in upward, downward, and horizontal lines. Downward communication travels from the administrative and senior levels to the staff through official channels such as manuals, rules and regulations, and organizational charts. Staff members initiate upward communication, which is addressed to executives and...
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相关实验视频

Updated: Jul 13, 2025

The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

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在使用更高层次网络中心性的软件开发过程中,定位社区的气味.

Christoph Gote1,2,3, Vincenzo Perri2,3, Christian Zingg1

  • 1Chair of Systems Design, ETH Zurich, Weinbergstrasse 56/58, 8092 Zurich, Switzerland.

Social network analysis and mining
|October 13, 2023
PubMed
概括
此摘要是机器生成的。

本研究引入了更高层次的网络模型,以检测软件开发过程中隐藏的社区气味,改善团队协作,并确定以前未知的问题,以更好地创建软件.

关键词:
中心性措施的中心性.社区闻到社区的味道.高阶网络是指一个更高阶的网络.路径分析 路径分析社会债务是社会债务.

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Last Updated: Jul 13, 2025

The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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科学领域:

  • 计算机科学 计算机科学
  • 软件工程 软件工程 软件工程
  • 网络分析 网络分析

背景情况:

  • 社区的气味,如孤立和沟通不良,阻碍了软件开发团队的生产力.
  • 现有的方法分析静态交互网络,未能在动态开发过程中精确定位气味.
  • 高级网络模型为发现复杂的团队交互模式提供了更强大的方法.

研究的目的:

  • 在软件开发中开发和验证用于检测社区气味的高级网络模型.
  • 引入新的中心性措施,以确定团队互动网络中的有影响力的节点.
  • 将这些方法应用于现实世界的软件开发团队,以识别和定位社区的气味.

主要方法:

  • 开发了基于MOGen高阶网络模型的中心性措施.
  • 通过使用五个经验数据集,验证了这些措施在预测有影响力的节点方面的有效性.
  • 分析了genua GmbH的产品团队,在他们的开发过程中识别了特定的社区气味.

主要成果:

  • 高级网络模型在团队开发过程中的两个领域成功识别了关键的社区气味.
  • 团队知道一个已识别的社区气味,而第二个之前没有被识别.
  • 新的高级网络中心性被证明可以有效地捕捉社区动态和间接关系.

结论:

  • 高级网络模型为软件开发中识别和定位社区气味提供了强大的工具.
  • 这种方法可以揭示隐藏的团队互动模式,并改善软件开发过程.
  • 开发的中心性措施对社会网络分析领域做出了重大贡献,以了解社区动态.