Social Relationship Analysis and Prediction Based on Location Information

Hao Hu; Liang Zhang

doi:10.4028/www.scientific.net/AMR.926-930.3966

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 926-930Social Relationship Analysis and Prediction Based...

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 humans 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 persons 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.

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Periodical:

Advanced Materials Research (Volumes 926-930)

Pages:

3966-3969

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.926-930.3966

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Online since:

May 2014

Authors:

Hao Hu*, Liang Zhang

Keywords:

Data Mining (DM), Location Data, Social Prediction, Social Relations

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