Title
Community Discovery Of Public Cloud Web Services Based On Structural Networks
Abstract
Community structure is the most common topological structure in complex networks. An important feature of complex networks is that they are generally composed of highly inner connected sub-networks called community. It is very useful and significant to understand the features of these communities. In this paper, we study the community structure of structural service networks formed by public web services available on the Internet. Firstly, we present a method for web service structural network construction based on web service description documents. Secondly, we propose a community discovery algorithm based on web service interaction relationships and analyze community structure of web service networks. Finally, we preform experiment on several real datasets, and the results show the efficiency and feasibility of community discovery algorithm.
Year
DOI
Venue
2013
10.1109/ICNC.2013.6818147
2013 NINTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION (ICNC)
Keywords
Field
DocType
web service, community discovery, structural network
Web development,World Wide Web,Web mapping,Computer science,Web standards,Data Web,Web modeling,Social Semantic Web,Web service,WS-Policy
Conference
Citations 
PageRank 
References 
0
0.34
6
Authors
4
Name
Order
Citations
PageRank
Xi-zhe Zhang1388.94
shuai feng2452.59
Ying Yin353.13
Bin Zhang421341.40