基于移动用户出行数据的城市热点挖掘算法

A Hot-Spot City Mining Algorithm Based on Mobile Users' Travel Data

针对当前城市热点挖掘数据源不完整、代表性不足的问题,提出基于移动用户出行数据的城市热点挖掘算法。首先利用移动用户出行数据构造以基站为节点的无向-加权空间交互网络,在此基础上计算空间交互网络节点的Jaccard相似度,采用LPA算法对空间交互网络进行社团划分,最终达到挖掘城市热点的目的。

Considering the incomplete mining data source and insufficient representativeness in currently urban hot spots,a city hot spot mining algorithm based on mobile users’travel data is proposed in this paper.Firstly,taking base station as the node,an undirected and weighted spatial interaction network is built by using mobile users’travel data.Then,the Jaccard similarity of space interactive network nodes is calculated.Finally,the community division of space interaction network is realized by LPA algorithm to ultimately achieve the purpose of mining the city hot spots.