@inproceedings{bd437b9352fe4837b03e2b6bd3bbfbba,
title = "Social relationship analysis and prediction based on location information",
abstract = "With the development of smart terminal and smart phones, it is more and more conveniently that obtains the peoples' locations and movements trajectory. Even though human's daily movement is free and random, we also can find some regular pattern and periodic movements in daily life. These regular movements and locations make up the daily life pattern. The interactions between two daily life pattern cause person-to-person social relation and effect its changing. So we can describe person's life pattern with location data and we also can describe and infer the relations. In this paper, we propose a new method to quantify and predict social relationship affinity with absolute location and approximation location data.",
keywords = "Data Mining, Location Data, Social Relations, Social prediction",
author = "Hao Hu and Liang Zhang",
year = "2014",
doi = "10.4028/www.scientific.net/AMR.926-930.3966",
language = "英语",
isbn = "9783038350996",
series = "Advanced Materials Research",
publisher = "Trans Tech Publications",
pages = "3966--3969",
booktitle = "Progress in Applied Sciences, Engineering and Technology",
address = "德国",
note = "2014 International Conference on Materials Science and Computational Engineering, ICMSCE 2014 ; Conference date: 20-05-2014 Through 21-05-2014",
}