无线联系、Facebook友谊和兴趣:学术环境下的多层社交网络分析

Annalisa Socievole, F. Rango, Antonio C. Caputo
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引用次数: 43

摘要

近年来,人类移动轨迹因其对构建移动模型和评估移动机会通信系统的有用性而受到越来越多的关注。即使人类的移动性为我们提供了对移动用户社会行为的洞察,人们也越来越意识到,人类的社会性是在多个层面上同时表达的。基于无线联系人和其他类型的社交网络层构建的社交网络所构成的多层复杂网络还需要深入分析和理解。在本文中,我们描述了我们在校园环境中进行的实验,以追踪蓝牙接触方面的无线接触,发生在携带智能手机的实验小组内外的节点之间,并收集参与者的个人资料,Facebook好友和兴趣。通过分析在此数据集上构建的多层社会网络,我们有助于在不同社会维度上对人类行为的新理解。我们研究了通过移动设备检测到的线下相遇、Facebook友谊和共同兴趣之间的关系,包括相应社交图谱之间的密切程度、强线下联系与其他社交联系之间的匹配程度以及社区之间的相似性。我们证明蓝牙联系人网络层和Facebook友谊网络层是相似的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wireless contacts, Facebook friendships and interests: Analysis of a multi-layer social network in an academic environment
Human mobility traces have drawn increasing attention in recent years due to their usefulness for constructing mobility models and evaluating mobile opportunistic communication systems. Even if human mobility provides us insights into the social behavior of mobile users, there is a growing awareness that human sociality is expressed simultaneously on multiple layers. The multilayered complex network composed by the social network constructed on wireless contacts and other types of social network layers needs still to be analyzed and understood in depth. In this paper, we describe the experiment we performed in a campus environment to trace the wireless contacts in terms of Bluetooth encounters, occurring between nodes inside and outside the group of experimenters carrying smartphones, and to gather the profiles, Facebook friendships, and interests of the participants. By analyzing the multilayer social network constructed on this dataset, we contribute to novel understanding of human behavior at different social dimensions. We study the relationship between offline encounters detected through mobile devices, Facebook friendships and shared interests in terms of closeness between the corresponding social graphs, matching between strong offline ties and the other social ties, and similarity between communities. We show that Bluetooth contacts network layer and Facebook friendships network layer are similar.
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