Construction of a blog network based on information diffusion
- Authors
- Lim, Seung-Hwan; Kim, Sang-Wook; Kim, Soyoun; Park, Sanghyun
- Issue Date
- Mar-2011
- Publisher
- Association for Computing Machinery
- Keywords
- blogs; data mining; information diffusion; social network analysis
- Citation
- Proceedings of the ACM Symposium on Applied Computing, pp.937 - 941
- Indexed
- SCOPUS
- Journal Title
- Proceedings of the ACM Symposium on Applied Computing
- Start Page
- 937
- End Page
- 941
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/168961
- DOI
- 10.1145/1982185.1982391
- ISSN
- 0000-0000
- Abstract
- The blog world is a representative online society. To understand the nature of the blog world, there have been many research efforts on analyzing information diffusion and blog-ger activities. The independent cascade model is appropriate to explain information diffusion in the blog world. For the model to be employed, the blog world should be represented as a form of a network. For accurate analysis, it is crucial to assign a diffusion probability to each edge between a pair of bloggers in the blog network. In this paper, we propose a novel method to assign a diffusion probability to an edge for a pair of bloggers that reflects well the phenomenon of actual information diffusion between them. We verify the superiority of our approach by performing extensive experiments with real-world blog data.
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