Web services clustering based on detecting community structure in complex network

This paper described an algorithm which created WWN of service descriptions.The nodes was words,and WWN got the edge-weight through the word's co-appearance.Newman fast algorithm could detect community structure in WWN and return the clusters of words.Using the relationship between words and services,achieved service-clustering.At last,an experiment on a collection of 1 007 Web services shows the high precision of 74.7%.