在社交网络中的身份和搜索
Duncan J Watts1, Peter Sheridan Dodds, M E J Newman
1Department of Sociology, Columbia University, New York, NY 10027, USA. djw24@columbia.edu
概括
社交网络令人惊地可以进行搜索,使信息能够有效地到达遥远的个人. 这项研究使用个人身份和社会维度来模拟可搜索性,适用于各种网络搜索挑战.
科学领域:
- 社交网络分析分析
- 信息科学 信息科学
- 计算机科学 计算机科学
背景情况:
- 社交网络表现出一种新兴的"可搜索性"属性.
- 个人可以通过熟人网络在几步之内将信息路由到远处的目标.
- 现有的模型无法完全解释这种可搜索性现象.
研究的目的:
- 介绍一个解释社交网络可搜索性的模型.
- 定义可搜索网络和搜索方法.
- 探索超越社交网络的应用.
主要方法:
- 开发了一个基于可识别的个人身份的模型.
- 定义个人身份作为跨社会维度的特征集.
- 提出了一种在定义的可搜索网络中搜索的方法.
主要成果:
- 确定了"可识别的个人身份"作为网络可搜索性的关键.
- 定义了一个适用于此搜索方法的网络类别.
- 证明了模型对各种网络搜索问题的潜在适用性.
结论:
- 社交网络的可搜索性可以通过基于身份的路由来解释.
- 拟议的模型为理解和执行网络搜索提供了一个框架.
- 这些原则可以扩展到在点对点网络,万维网和分布式数据库中定位数据.
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