Measuring social relations with multiple datasets

Juuso Karikoski, Matti Nelimarkka
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引用次数: 28

Abstract

Because people have different levels of engagement with each other, measuring social relations is difficult. In this work, we propose a method of measuring social relations with multiple datasets and demonstrate the differences with empirical evidence. Our empirical findings demonstrate that people use different communication media channels differently. Therefore, we suggest that in order to understand social structures, one should use several kinds of data sources and not just depend on a single dataset. Our datasets include mobile phone data gathered with handset-based measurements and data from OtaSizzle online social media services. By means of social network analysis, we show that the online social media services have a different friendship network than the networks based on mobile phone communication. The mobile phone communication networks, however, have a very similar structure. These results are encouraging as previous research also indicates differences in the communication networks.
用多个数据集测量社会关系
因为人们彼此之间的接触程度不同,衡量社会关系是很困难的。在这项工作中,我们提出了一种用多个数据集衡量社会关系的方法,并证明了与经验证据的差异。我们的实证研究结果表明,人们使用不同的传播媒介渠道是不同的。因此,我们建议,为了理解社会结构,应该使用多种数据源,而不仅仅依赖于单一的数据集。我们的数据集包括通过基于手机的测量收集的手机数据和来自OtaSizzle在线社交媒体服务的数据。通过社交网络分析,我们发现在线社交媒体服务具有与基于手机通信的网络不同的友谊网络。然而,移动电话通信网络具有非常相似的结构。这些结果令人鼓舞,因为之前的研究也表明了通信网络的差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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