Community Detection in an Integrated Internet of Things and Social Network Architecture
In this paper, the authors propose a community detection scheme in an integrated Internet of Things (IoT) and Social Network (SN) architecture. The paper takes a graph mining approach to solve the problem in complex network of IoT and SN. A number of pieces of research literature exist on community detection in SNs; however, no work specifically on integrated IoT and SN architecture addresses this issue. The existing community detection approaches have not considered things into account. The authors propose the scheme, Community Detection in an Integrated IoT and SN (CDIISN) in which they divide the nodes/actors in complex networks into basic nodes and IoT nodes, and execute the community detection algorithm.