In a blog network, there are special users who induce other users to actively utilize blogs. Identifying such influential users is important when establishing business policy and business models for the blog network. This paper defines the users whose contents exhibit significant influence over other users as content power users (CPUs) and proposes a method of identifying them. We analyze the performance of the proposed method by applying it to an actual blog network and comparing its results with those of preexisting methods for determining power users. The experimental results demonstrate that the definition of CPUs is adequate to address the dynamic nature of the blogosphere and the main concerns of the blog industry. We also discuss the business models based on CPUs that could be used to stimulate user activities in a blog network.
|Number of pages
|IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans
|Published - 2011 Sept
Bibliographical noteFunding Information:
Manuscript received July 31, 2009; revised April 6, 2010 and October 31, 2010; accepted November 9, 2010. Date of publication June 23, 2011; date of current version August 23, 2011. This work was supported by NHN Corp. Any opinions, findings, and conclusions or recommendations expressed in this material are the authors’ and do not necessarily reflect those of the sponsor. This work was also supported by the Brain Korea 21 Project in 2010, the Mid-Career Researcher Program through the National Research Foundation grant funded by the Ministry of Education, Science, and Technology under Grant 2008-0061006, the Ministry of Knowledge Economy under the National HRD Support Program for Convergence Information Technology supervised by the National IT Industry Promotion Agency under Grant NIPA-2010-C6150-1001-0005, and the Korea Research Foundation (KRF) funded by the Korean Government under Grant KRF-2009-013-D00104. This paper was recommended by Associate Editor H. Chen.
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Human-Computer Interaction
- Computer Science Applications
- Electrical and Electronic Engineering