This study analyzed trends of smart city research through text mining, topic analysis, and network analysis. For this, 1632 papers from 1991 to 2017 were collected through text mining at WOS site. We then used Latent Dirichlet Allocation (LDA) topic modeling and network analysis using data preprocessed data. The period was divided into seven periods for trends. Topic modeling analysis shows that hot topics are sensor network, smart city data, IoT, smart Tech, cloud computing, and security & privacy. From the results of the network analysis, in the whole period of 1991 ~ 2017, smart city is connected with IoT, Big Data, wireless sensor networks. Smart City research seems to be evolving into more convergent research areas with related studies more closely.
Volume 11 | 07-Special Issue
Pages: 1302-1309