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一种识别社交网络中熟悉陌生人的社会身份方法

A Social Identity Approach to Identify Familiar Strangers in a Social Network
课程网址: https://videolectures.net/videos/icwsm09_agarwal_siaifs  
主讲教师: Freddy Chong Tat Chua
开课单位: 信息不详。欢迎您在右侧留言补充。
开课时间: 2009-06-24
课程语种: 英语
中文简介:
我们提出了一个在社交网络中搜索“熟悉的陌生人”的新问题。熟悉的陌生人是指没有直接联系但表现出一些相似性的个体。社交网络的幂律性质决定了大多数个体与少数个体直接相关，而相似的个体在很大程度上彼此未知。此外，社交网络的个人对网络只有局部视图，这使得聚集这些熟悉的陌生人成为一个挑战。在这项工作中，我们提出了这个问题，展示了为什么应对这一挑战具有重要意义，并提出了一种创新性地利用个人社会身份的方法。博客和引文网络用于展示技术细节和相关问题和未来工作的实证结果。
课程简介: We present a novel problem of searching for ‘familiar strangers’ in a social network. Familiar strangers are individuals who are not directly connected but exhibit some similarity. The power-law nature of social networks determines that majority of individuals are directly connected with a small number of fellow individuals, and similar individuals can be largely unknown to each other. Moreover, the individuals of a social network have only a local view of the network, which makes the problem of aggregating these familiar strangers a challenge. In this work, we formulate the problem, show why it is significant to address the challenge, and present an approach that innovatively employs the social identities of the individuals with competitive approaches. The blogger and citation network are used to showcase technical details and empirical results with related issues and future work.
关 键 词: 社交网络; 熟悉的陌生人; 幂律性质
课程来源: videolectures
数据采集: 2025-05-27：yuhongrui
最后编审: 2025-10-17：liyy
阅读次数: 13

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