该研究利用移动网络流量数据(包括国家、城市和校园三种不同尺度),对人类的移动行为图模式、时空相关性等问题进行理论建模研究。
Bibtex: thesis.bib
@phdthesis{xmchen:human_mobility_2016,
author = {Xiaming Chen},
title = {Analyzing and Modelling Human Spatio-Temporal Mobility with Mobile Data},
school = {Shanghai Jiao Tong University},
address = {Shanghai, P.R. China},
month = {9},
year = {2016},
language = {Chinese},
copyright = {Shanghai Jiao Tong University},
keywords = {Spatio-temporal data mining, human mobility, mobile engaging behavior, spatio-temporal coupling, behavioral models},
url = {https://github.com/caesar0301/phd-dissertation}
}
@phdthesis{xmchen:human_mobility_2016_ch,
author = {陈夏明},
title = {利用移动网络数据的人类时空行为分析与建模研究},
school = {上海交通大学},
address = {上海,中国},
month = {9},
year = {2016},
language = {中文},
copyright = {上海交通大学},
keywords = {时空数据挖掘,移动行为,网络参与行为,时空关联,行为模型},
url = {https://github.com/caesar0301/phd-dissertation}
}