论文标题
来自大学校园中Wi-Fi数据的简单时间网络：限制对流行病的影响
Simplicial temporal networks from Wi-Fi data in a University Campus: the effects of restrictions on epidemic spreading
论文作者
论文摘要
无线网络通常用于公共空间，大学和公共机构，并提供准确，易于访问的信息以监视用户的移动性和行为。在最近的大流行期间采用了遏制措施后，我们分析了三个时期的意大利大学校园中WiFi网络的大量数据，对应于部分锁定，部分开放和几乎完整的开放。我们衡量组的概率分布和在Wi-Fi接入点处的链接激活，研究了在限制存在下如何使用不同区域的概率。我们将热点及其根据它们的拥挤和链接形成的可能性进行排名，这是确定潜在暴发的相关变量。我们考虑了一个最近提出的关于简单时间网络的流行病模型，并使用测得的分布来推断三个阶段中繁殖数的变化。我们的数据表明，由于接触次数的急剧增加，需要采取其他措施来限制整个开放阶段的流行病扩散。
Wireless networks are commonly used in public spaces, universities and public institutions and provide accurate and easily accessible information to monitor the mobility and behavior of users. Following the application of containment measures during the recent pandemic, we analyse extensive data from the WiFi network in a University Campus in Italy during three periods, corresponding to partial lockdown, partial opening, and almost complete opening. We measure the probability distributions of groups and link activation at Wi-Fi Access Points, investigating how different areas are used in the presence of restrictions. We rank the hotspots and the area they cover according to their crowding and to the probability of link formation, which is the relevant variable in determining potential outbreaks. We consider a recently proposed epidemic model on simplicial temporal networks and we use the measured distributions to infer the change in the reproduction number in the three phases. Our data show that additional measures are necessary to limit the epidemic spreading in the total opening phase, due to the dramatic increase in the number of contacts.
