TY - GEN
T1 - Classifying urban events' popularity by analyzing friends information in location-based social network
AU - Kawano, Makoto
AU - Yonezawa, Takuro
AU - Nakazawa, Jin
AU - Kawasaki, Satoshi
AU - Ohta, Ken
AU - Inamura, Hiroshi
AU - Tokuda, Hideyuki
N1 - Funding Information:
This research is partly supported by National Institute of Information and Communications Technology (NICT).
Publisher Copyright:
© 2014 Urb-IoT 2014 - 1st International Conference on IoT in Urban Space, Conference Proceedings. All rights reserved.
PY - 2014/10/27
Y1 - 2014/10/27
N2 - Recent progress and spread of smartphones and social network services have enabled us to transmit text messages with GPS location data anywhere and anytime. Since these location-based SNS messages often refer to urban events, many researchers have tried to recognize urban events by analyzing of the messages. To construct the various applications based on the urban events information, we propose a new indicator of event, called Popularity which represents how popular the urban event is. Popularity is estimated by analyzing friends on social network of events' participants. To evaluate our new indicator, we designed and implemented intuitive and interactive web-based tool for analyzing Popularity of events. Through comparative experiments, we confirmed that our proposed method could provide a certain amount of accuracy for estimating Popularity of events.
AB - Recent progress and spread of smartphones and social network services have enabled us to transmit text messages with GPS location data anywhere and anytime. Since these location-based SNS messages often refer to urban events, many researchers have tried to recognize urban events by analyzing of the messages. To construct the various applications based on the urban events information, we propose a new indicator of event, called Popularity which represents how popular the urban event is. Popularity is estimated by analyzing friends on social network of events' participants. To evaluate our new indicator, we designed and implemented intuitive and interactive web-based tool for analyzing Popularity of events. Through comparative experiments, we confirmed that our proposed method could provide a certain amount of accuracy for estimating Popularity of events.
KW - Location-based social network
KW - Urban event classification
UR - http://www.scopus.com/inward/record.url?scp=84985967702&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84985967702&partnerID=8YFLogxK
U2 - 10.4108/icst.urb-iot.2014.257295
DO - 10.4108/icst.urb-iot.2014.257295
M3 - Conference contribution
AN - SCOPUS:84985967702
T3 - Urb-IoT 2014 - 1st International Conference on IoT in Urban Space, Conference Proceedings
SP - 87
EP - 89
BT - Urb-IoT 2014 - 1st International Conference on IoT in Urban Space, Conference Proceedings
PB - ICST
T2 - 1st International Conference on IoT in Urban Space, Urb-IoT 2014
Y2 - 27 October 2014 through 28 October 2014
ER -