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The Design of Blog Network Analysis System using Map/Reduce Programming Model  

Joe, In-Whee (한양대학교 컴퓨터공학부 이동네트워크 연구실)
Park, Jae-Kyun (한양대학교 컴퓨터공학부 이동네트워크 연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.35, no.9B, 2010 , pp. 1259-1265 More about this Journal
Abstract
Recently, on-line social network has been increasing according to development of internet. The most representative service is blog. A Blog is a type of personal web site, usually maintained by an individual with regular entries of commentary. These blogs are related to each other, and it is called Blog Network in this paper. In a blog network, posts in a blog can be diffused to other blogs. Analyzing information diffusion in a blog world is a very useful research issue, which can be used for predicting information diffusion, abnormally detection, marketing, and revitalizing the blog world. Existing studies on network analysis have no consideration for the passage of time and these approaches can only measure network activity for a node by the number of direct connections that a given node has. As one solution, this paper suggests the new method of measuring the blog network activity using logistic curve model and Cosine-similarity in key words by the Map/Reduce programming model.
Keywords
Blog; Social Network Analysis; MapReduce;
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  • Reference
1 (주) 다음 커뮤니케이션, http://www.tistory.com
2 (주) SK Communications, http://www.egloos.com
3 A. Chin and M. Chignell, "A Social Hypertext Model for Finding Community in Blogs", Proc. Int'l. Conf. on Hypertext and Hypermedia, pp. 11-22, 2006
4 J. Dean and S. Ghemawat, "MapReduce: Simplified Data Processing on Large Clusters", 6th Symposium on Operating System Design and Implementation, Google Inc., 2004
5 김경희, 배진아, "30대 블로거들의 블로그 매개 커뮤니케이션 연구", 한국언론학보, 제50권 제5호, 2006
6 S. Wasserman and K. Faust, "Social Network Analysis: Methods and Applications", Cambridge University Press, 1994
7 L. Adamic, O. Buyukkokten, and E. Adar, "A Social Network Caught in the Web" Frist Monday, Vol.8, No.6, pp. 1-22, 2003
8 J. Iribarren and E. Moro, "Information Diffusion Epidemics in Social Networks", Arxiv, 2007
9 X. Song et al., "Mining in Social Networks Information Flow Modeling based on Diffusion Rate for Prediction and Ranking", Proc. Int'l. Conf. on World Wide Web, pp. 191-200, 2007