利用基于位置的社交网络探究城市服务设施  

Using Location-based Social Network to Explore Urban Service Facilities

作　　者：邵世维[1,2] 黄新[1] 刘辉[1] 陈伟[1] 

机构地区：[1]武汉市国土资源和规划信息中心,湖北武汉430014 [2]武汉大学资源与环境科学学院,湖北武汉430079

出　　处：《地理空间信息》2015年第6期23-25,11,共3页Geospatial Information

基　　金：国家科技支撑计划资助项目(2013BAJ05B02)

摘　　要：随着互联网的快速发展,社交网络对人类社会生活各个方面产生了重大影响。当人们从海量的社交网络数据中获取有价值的信息,社交网络数据的多样性和复杂性导致利用这些数据时存在着很多问题,如海量信息中提取感兴趣数据的效率过低。在智慧城市的建设中,如何高效利用这些海量数据为智慧城市提供决策支持是个巨大挑战。基于位置的社交网络数据具有丰富的信息,采用基于文本和空间聚类的方法探究城市服务设施的空间分布,再利用POI(point?of?interest)验证实验的可行性和结果的正确性。With the rapid development of the Internet, social network has a significant impact on all aspects of human social life. However, when people obtain valuable information from massive amount of social network data, social network data's variety and complexity may lead to many difficulties, such as lacking of efficiency during extracting interested information. In the process of Smart City, it is a great challenge to efficiently make use of massive amount of data for decision making. Location-based social network data has numerous characteristics, we used a method based on text and spatial clustering to explore the distribution of urban facilities, and verified the correctness and feasibility of the experimental results according to POI(Point of Interest) in this paper.

关 键 词：智慧城市 社交网络 空间聚类 城市服务设施 

分 类 号：P208[天文地球—地图制图学与地理信息工程]