Home // International Journal On Advances in Internet Technology, volume 6, numbers 1 and 2, 2013 // View article

Computing User Importance in Web Communities by Mining Similarity Graphs

Authors:
Clemens Schefels

Keywords: Computer aided analysis; World Wide Web; Data analysis; Graph theory; Application software.

Abstract:
The economic success of the World Wide Web makes it a highly competitive environment for web businesses. For this reason, it is crucial for web business owners to learn what their customers want. In this paper, we provide a useful tool to the web site owner for analyzing her/his web community. In particular, the web site owner can compute the importance of the users and analyze the structure of the specific community by comparing the interests of the users. Therefore, we present the conception and implementation of a tool for building and analyzing weighted similarity graphs, e.g., for a social web community. For that, we provide measurements for user equality and user similarity. We introduce different graph types for analyzing profiles of web community users. Moreover, we propose two new algorithms for finding important users of an on-line community.

Pages: 79 to 89

Copyright: Copyright (c) to authors, 2013. Used with permission.

Publication date: June 30, 2013

Published in: journal

ISSN: 1942-2652