Research Article
A Novel Algorithm for Detecting Social Clusters and Hierarchical Structure in Industrial IoT
@INPROCEEDINGS{10.1007/978-3-319-44350-8_17, author={Jiming Luo and Kai Lin and Wenjian Wang}, title={A Novel Algorithm for Detecting Social Clusters and Hierarchical Structure in Industrial IoT}, proceedings={Industrial IoT Technologies and Applications. International Conference, Industrial IoT 2016, GuangZhou, China, March 25-26, 2016, Revised Selected Papers}, proceedings_a={INDUSTRIALIOT}, year={2016}, month={9}, keywords={IoT Industrial cloud Social cluster Hierarchical structure Mobile device}, doi={10.1007/978-3-319-44350-8_17} }- Jiming Luo
Kai Lin
Wenjian Wang
Year: 2016
A Novel Algorithm for Detecting Social Clusters and Hierarchical Structure in Industrial IoT
INDUSTRIALIOT
Springer
DOI: 10.1007/978-3-319-44350-8_17
Abstract
The rapid development of IoT has brought life around us with tremendous impact. Especially, industrial IoT as a new research hotspot, has been attracting extensive concern from industry and academia, facilitating many technologies and application in industrial IoT. However, taking full advantage of a large number of resources in industrial IoT is a challenging task. In this article, we present an efficient mobile social cluster algorithm (OMSC) to detect the potential social relationships among mobile devices in industrial IoT. It can discover the overlapping cluster and hierarchical structure in near-line time. We implement this algorithm in the Java Platform and validate the OMSC in synthetic networks and real-world network datasets. The experimental results demonstrate that the presented OMSC algorithm has high performance.
