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Search engine: The social relationship driving power of Internet of Things

机译：搜索引擎：物联网的社会关系驱动力

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摘要

Social Internet of Things (SIoT) integrates the social network with the Internet of Things (IoT) and has become a hot research issue for its potential to support novel IoT applications and networking services in more effective and efficient ways. The search engine, which is primarily designed for social network users to acquire interested information, also plays an important role in SIoT. There even exist search engines specially designed for SIoT. Using a search engine, people can easily find the smart devices in SIoT. Specifically, a search engine assists the information dissemination, i.e., enabling users (both humans and things) to access interested objects (both humans and things) with keywords-searching and transferring contents from the source directly to potential interested users. Accompanying such processes, the SIoT evolves as new links emerge between users and their interested objects. In this paper, we aim to quantitatively characterize how a search engine influences the social relationship in the IoT. Firstly, we point out that the search engine serves as the medium between the social network and the IoT, and then we propose a Search Social Internet of Things (SSIoT) model for SIoT evolution. Secondly, we adopt six performance metrics, namely, degree distribution, network diameter, average distance, network density, network stability, and user betweenness. Theoretically, we prove that the degree distribution follows an intensified power-law, the network diameter and the average distance shrink, network density, network stability, and user betweenness are greater in SSIoTs. Thirdly, we quantitatively show that a search engine accelerates malicious code propagation in SIoTs. Finally, based on four real-world data sets (i.e., CDBLP, Facebook, Weibo, and P2P), we verify our theoretical findings.
机译：社交物联网（SIoT）将社交网络与物联网（IoT）集成在一起，并因其以更有效和高效的方式支持新型物联网应用程序和网络服务的潜力而成为研究热点。搜索引擎主要是为社交网络用户设计的，用于获取感兴趣的信息，在SIoT中也发挥着重要作用。甚至存在专门为SIoT设计的搜索引擎。使用搜索引擎，人们可以轻松地在SIoT中找到智能设备。具体地，搜索引擎辅助信息传播，即，使用户（人类和事物）都能够使用关键字来搜索感兴趣的物体（人类和事物），并从源直接将内容传输给潜在的感兴趣的用户。伴随这些过程，SIoT随着用户及其感兴趣的对象之间出现新的链接而发展。在本文中，我们旨在量化表征搜索引擎如何影响物联网中的社会关系。首先，我们指出搜索引擎充当了社交网络和物联网之间的媒介，然后我们提出了一种搜索社会物联网（SSIoT）模型来推动SIoT的发展。其次，我们采用六个性能指标，即度分布，网络直径，平均距离，网络密度，网络稳定性和用户之间的间隔。从理论上讲，我们证明了度分布遵循增强的幂律，SSIoT中的网络直径和平均距离缩小，网络密度，网络稳定性以及用户之间的差异更大。第三，我们定量地表明搜索引擎可以加速SIoT中恶意代码的传播。最后，基于四个真实世界的数据集（即CDBLP，Facebook，微博和P2P），我们验证了我们的理论发现。

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