The increase in the number of bloggers and the amount of information diffused in the blogosphere makes the blogosphere an important medium through which to communicate and exchange information. Accordingly, the interest in understanding the nature of the information diffusion in the blogosphere has also been increased. Existing studies in social networks have mainly focused on the information diffusion through explicit relationships between members. In this paper, we analyze the causes for the information diffusion without explicit relationships in the blogosphere. BlogCast, a functionality provided by blog-service providers to expose a high quality post on the portal main page, is found to be one of the main causes of the information diffusion without explicit relationships. We analyze the characteristics of the information diffusion through the BlogCast and its halo effect on the bloggers whose post has been exposed on the portal main page. In addition, we examine the sustainability of the halo effect of the BlogCast over time.
|Number of pages||18|
|Publication status||Published - 2015|
Bibliographical noteFunding Information:
We expect the findings in this paper to be helpful in developing new business models for the blogosphere and policies for the vitalization of the blogosphere. Acknowledgements This research was supported by (1) the MSIP (Ministry of Science, ICT, and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (NIPA-2014-H0301-14-1022) supervised by the NIPA (National IT Industry Promotion Agency), (2) Basic Science Research Program through the NRF (National Research Foundation of Korea) funded by the MEST (Ministry of Education, Science and Technology) (No. 2012R1A1A2007817), (3) the MCST (Ministry of Culture, Sports, and Tourism) via Korea Copyright Commission in 2014, and (4) the SSK (Social Science Korea), the NRF (National Research Foundation of Korea) grant funded by the Korean Government.
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All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Theoretical Computer Science
- Computer Science Applications
- Information Systems and Management
- Artificial Intelligence