关于友悖论和逆性:一个网络属性与对隐私敏感网络干预的应用程序
Vineet Kumar1, David Krackhardt2, Scott Feld3
1Yale School of Management, Yale University, New Haven, CT 06511.
概括
友悖论揭示了你的朋友比你有更多的联系. 本研究介绍了网络策略,以利用这一点进行有效的干预,如疾病控制.
科学领域:
- 网络科学 网络科学
- 图形理论 图形理论
- 流行病学 流行病学
背景情况:
- 友悖论,即个人通常比邻居拥有更少的联系,是社交网络中记录良好的现象.
- 了解网络结构和学位分布对于有效的干预和信息传播至关重要.
研究的目的:
- 为网络中的友悖论提供数学和经验基础.
- 为了引入一个新的网络属性,逆性,量化度不平衡.
- 开发和评估基于友悖论的网络干预策略.
主要方法:
- 网络属性的数学证明与以自我为基础的和以其他为基础的手段相关.
- 介绍和分析"逆向"度数用于度不平衡.
- 基于自我和基于其他人的干预策略的表征.
- 在生成和现实世界的网络数据上进行实证评估,包括流行病模拟.
主要成果:
- 反向的标志决定了基于自我与基于其他手段的排序,这对干预的有效性有影响.
- 建议的基于友悖论的策略与随机基准相比,显著改善节点程度选择 (几倍的改进).
- 干预策略显示,疫情控制所需的节点减少了大量 (与随机选择相比,减少了不到50%).
结论:
- 友悖论为设计高效的网络干预提供了一个强大的框架.
- 逆向提供了一个可量化的指标,以指导基于网络拓的不同干预策略之间的选择.
- 这些对隐私敏感,灵活的策略为控制传染和其他基于网络的问题提供了显著的优势.
更多相关视频
相关概念视频
Relationship Formation
40.0K
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,...
40.0K
In- and Out-Groups
39.0K
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.
39.0K
Group Polarization
34.3K
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.
34.3K
Protein Networks
3.9K
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,...
3.9K
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
Social Proof
27.6K
Social proof is a form of persuasion based on comparison and conformity. People compare their behavior and actions to what others are doing and will change to conform to do what their peers do.
27.6K


