An Exclusive WS-Ranking Method for Ranking of Web Blogs Using Webometrics and Sociometrics

摘要

In recent years, society has moved towards becoming "information society", virtual space has become the communication channel and the tool of socialization. While internet usage has grown, the way people are using the internet has also changed. More interactive online technology such as blogs, social networking sites such as Twitter and Facebook and other innovations which are part of greater interactivity and user-generated content that characterize so-called 'Web 2.0' -- i.e. sites allowing users to interact and collaborate with each other in a social media dialogue -- have become more prominent. Information retrieval has become a great challenge in web blogs and social networking web sites. Webometrics is a study of web-based content with primarily quantitative methods for social science research goals using techniques that are not specific to one field of study, which emphasizes the development of applied methods for use in the wider social sciences. This research focuses on developing a ranking algorithm for web blogs using webometrics and sociometrics. Most of the existing ranking algorithms use forward links, back links and weblog data. This paper gives an idea of using centrality measurement to rank web blogs.