In recent years, the global temperature is continuously rising and has the trend of accelerating. The frequent occurrence of extremely high temperatures and heat waves has caused widespread concern from all walks of life. How to fully understand the change law of temperature becomes very important. In view of the temperature change in Xi’an, this paper introduces a new method called visibility graph to establish the temperature network in Xi’an. On this basis, firstly, this paper studies the relationship between temperature fluctuation and network degree. We find that short-term fluctuations do not cause long-term effects. Then, through the study of network degree distribution, it is revealed that the temperature network conforms to the law of power-law distribution. In addition, this paper also completes the community detection of temperature network, and finds that some communities have fewer nodes (between June and August), which means that the correlation between summer temperature and other seasons in Xi’an is low, and it is easy to form extreme weather. To sum up, the research in this paper provides a new theoretical method and research ideas for mining and mastering the variation law of temperature in Xi’an.

近年来，全球气温持续上升，并有加速上升的趋势。极端高温和热浪的频繁发生引起了社会各界的广泛关注。如何充分理解温度的变化规律就变得非常重要。针对西安的气温变化，本文引入了一种称为可见性图的新方法来建立西安市的气温网络。在此基础上，首先研究了温度波动与网络度的关系。我们发现短期波动不会造成长期影响。然后，通过对网络度分布的研究，揭示了温度网络符合幂律分布规律。此外，本文还完成了温度网络的社区检测，发现部分社区节点较少（6-8月之间），说明西安夏季气温与其他季节的相关性较低，容易形成极端天气。综上所述，本文的研究为挖掘和掌握西安市气温变化规律提供了新的理论方法和研究思路。