TY - GEN
T1 - Who were you talking to - Mining interpersonal relationships from cellphone network data
AU - Yu, Mo
AU - Si, Wenjun
AU - Song, Guojie
AU - Li, Zhenhui
AU - Yen, John
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/10/10
Y1 - 2014/10/10
N2 - People play different roles in various social networks. Even in a single network, people may interact with others based on different roles, and there are various relationships among them. However, current research usually treats all relationships homogeneously (i.e. friendship). In this paper, we try to identify different types of relationship (family, colleague, and social) within social networks. By analyzing a large-scale cellphone network, we gain insights about human mobility patterns. We design three metrics to capture colocation behaviors for cellphone users, taking spatial-temporal factors into consideration. These metrics show that users with different relationships demonstrate significantly different co-locating patterns. With these metrics as features, we adopt supervised approach to classify cellphone user pairs into different relationship categories. Comparing to using network and communication features, co-location metrics demonstrate better performance to fulfill the task of relationship identification.
AB - People play different roles in various social networks. Even in a single network, people may interact with others based on different roles, and there are various relationships among them. However, current research usually treats all relationships homogeneously (i.e. friendship). In this paper, we try to identify different types of relationship (family, colleague, and social) within social networks. By analyzing a large-scale cellphone network, we gain insights about human mobility patterns. We design three metrics to capture colocation behaviors for cellphone users, taking spatial-temporal factors into consideration. These metrics show that users with different relationships demonstrate significantly different co-locating patterns. With these metrics as features, we adopt supervised approach to classify cellphone user pairs into different relationship categories. Comparing to using network and communication features, co-location metrics demonstrate better performance to fulfill the task of relationship identification.
UR - http://www.scopus.com/inward/record.url?scp=84911166836&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84911166836&partnerID=8YFLogxK
U2 - 10.1109/ASONAM.2014.6921630
DO - 10.1109/ASONAM.2014.6921630
M3 - Conference contribution
AN - SCOPUS:84911166836
T3 - ASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
SP - 485
EP - 490
BT - ASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
A2 - Wu, Xindong
A2 - Wu, Xindong
A2 - Ester, Martin
A2 - Xu, Guandong
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014
Y2 - 17 August 2014 through 20 August 2014
ER -