人气与在不断增长的网络中的相似性
Fragkiskos Papadopoulos1, Maksim Kitsak, M Ángeles Serrano
1Department of Electrical Engineering, Computer Engineering and Informatics, Cyprus University of Technology, 33 Saripolou Street, 3036 Limassol, Cyprus. f.papadopoulos@cut.ac.cy
Nature
|September 14, 2012
概括
新的网络增长模型表明,吸引力取决于人气和相似性,而不仅仅是人气. 这一新框架准确地预测了技术,社会和生物网络中的联系形成.
科学领域:
- 网络科学 网络科学
- 复杂的系统复杂的系统.
- 数学建模的数学建模
背景情况:
- 优先附加,其中流行的节点吸引更多的连接,解释了网络扩展.
- 这一原则在诸如互联网之类的各种现实世界网络中得到了观察.
- 它可以来自于诸如节点适应性,排名或优化等因素.
研究的目的:
- 挑战网络增长模型中仅仅依赖于人气.
- 引入一个新的框架,将流行和相似性纳入节点吸引力的新框架.
- 为不断发展的网络提供更准确的模型.
主要方法:
- 开发了一个新的网络进化框架,优化节点受欢迎程度和相似性之间的权衡.
- 使用几何解释来证明受欢迎程度偏好如何从本地优化中出现.
- 根据来自技术,社会和生物网络的大规模数据验证了框架.
主要成果:
- 提议的优化框架准确地描述了各种网络的演变,包括互联网,社会信任网络和大肠杆菌代谢网络.
- 它可以高精度地预测新链接形成的概率,优于传统的偏好的附着模型.
- 证明人气只是吸引力的一个方面,相似性起着至关重要的作用.
结论:
- 在不断增长的网络中,节点的吸引力是一个多维的概念,平衡了人气和相似性.
- 开发的优化框架为网络演变提供了比单独的优先附件更全面的解释.
- 这一框架对预测未来的链接和理解新出现的网络现象具有重大意义.
更多相关视频
相关概念视频
Population Growth
23.2K
Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.
23.2K
Relationship Formation
28.5K
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,...
28.5K
Factors Influencing Attraction I: Proximity
434
Proximity plays a fundamental role in shaping interpersonal attraction by increasing opportunities for interaction and fostering familiarity. Research consistently demonstrates that individuals are more likely to form social bonds with those who are physically closer to them, whether in residential settings, workplaces, or educational institutions. This effect is largely driven by the increased frequency of encounters, which facilitates the development of friendships and romantic...
434
Factors Influencing Attraction III: Similarity
963
The similarity hypothesis suggests that individuals are more likely to form relationships with others who share similar attitudes, beliefs, values, and interests. This concept has been widely studied in social psychology, demonstrating that perceived similarity fosters interpersonal attraction. In an experiment supporting this hypothesis, participants were presented with fabricated information indicating that strangers held attitudes similar to their own. The results showed that participants...
963
Causes of Similarity-Dissimilarity Effect
383
The similarity-dissimilarity effect, a fundamental concept in social psychology, explains how interpersonal similarities and differences influence attraction and social interactions. This effect is supported by three key psychological perspectives: balance theory, social comparison theory, and consensual validation.Balance Theory and Cognitive ConsistencyBalance theory, developed by Fritz Heider, posits that individuals seek cognitive consistency in their relationships. When two people share...
383
Social Exchange Theory
896
As formulated by John Thibaut and Harold Kelley, Social Exchange Theory explains human relationships as economic-like exchanges that maximize rewards and minimize costs. This theory suggests that individuals engage in relationships to gain benefits and reduce burdens, similar to economic transactions. It has been widely applied to various types of relationships, including romantic, professional, and social interactions.Rewards and Costs in RelationshipsRelationship rewards include emotional...
896


