Description

Social networks contain a large amount of information on transportation, e.g., traffic accidents, congestions, and vehicles. Such information is the original ideas of people with respect to real-world transportation issues, and detecting communities on the topic of transportation from the information will benefit many ITS applications. However, realworld social network nodes often contain multiple attributes, and the network can be very large. The two properties can lead to confusion and unscalability problem to clustering methods.