TY - JOUR
T1 - From mobile phone sensing to human geo-social behavior understanding
AU - Guo, Bin
AU - Liang, Yunji
AU - Yu, Zhiwen
AU - Li, Minshu
AU - Zhou, Xingshe
N1 - Publisher Copyright:
© 2014 Wiley Periodicals, Inc.
PY - 2016/5/1
Y1 - 2016/5/1
N2 - The study of geo-social behaviors has long been a scientific problem. In contrast to traditional social science, which suffers from the problems such as high data collection cost and imported user subjectivity, a new approach is presented to study social behaviors based on mobile phone sensing data. Different from other similar studies on mobile social sensing, three different types of geo-social behaviors, including online interaction, offline interaction, and mobility patterns, are characterized based on a newly released Nokia mobile phone data set. We further discuss the impact factors to these behaviors as well as the correlation among them. The findings in this article are crucial for many different fields, ranging from urban planning, location-based services, to social recommendation.
AB - The study of geo-social behaviors has long been a scientific problem. In contrast to traditional social science, which suffers from the problems such as high data collection cost and imported user subjectivity, a new approach is presented to study social behaviors based on mobile phone sensing data. Different from other similar studies on mobile social sensing, three different types of geo-social behaviors, including online interaction, offline interaction, and mobility patterns, are characterized based on a newly released Nokia mobile phone data set. We further discuss the impact factors to these behaviors as well as the correlation among them. The findings in this article are crucial for many different fields, ranging from urban planning, location-based services, to social recommendation.
KW - correlation analysis
KW - geo-social behaviors
KW - mobile phone sensing
KW - mobility patterns
KW - online/offline interaction
UR - http://www.scopus.com/inward/record.url?scp=84903246614&partnerID=8YFLogxK
U2 - 10.1111/coin.12050
DO - 10.1111/coin.12050
M3 - 文章
AN - SCOPUS:84903246614
SN - 0824-7935
VL - 32
SP - 240
EP - 258
JO - Computational Intelligence
JF - Computational Intelligence
IS - 2
ER -