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Blog研究 被引量:19

Research on Blog
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摘要 Blog信息源和信息量迅速增长,并已通过频繁的链接和信息交互在互联网上构建了一个动态且紧密的社会网络,成为现实世界一个重要的信息来源.目前,Blog领域的研究主要集中在Blog的定义与识别、内容挖掘、社区发现、重要性分析、Blog搜索和作弊Blog识别等几个方面.大部分研究采用或借鉴了链接分析、自然语言处理等方面的技术和方法,也提出了一些针对Blog领域的特定方法.分析和比较了Blog领域的相关研究,并且讨论了研究中存在的问题,展望了未来的研究方向. Popularity of bloggers and the amount of information in the blogosphere increase fast. Blogs have constituted a dynamic and tightly social network by using frequent links and information interaction, and become an important source of information for the real world. Most researches on blog mainly concentrate on blog definition and identification, content mining, community discovery, importance analysis, blog search and spare blog identification. Methods and technologies of link analysis and natural language processing are used in most works, and some blog-specific methods are proposed. This paper analyzes and compares these researches on blogosphere. Problems of current topics are discussed, and finally future directions are proposed in this paper.
出处 《软件学报》 EI CSCD 北大核心 2008年第4期912-924,共13页 Journal of Software
基金 国家自然科学基金Nos.60435020 60302021 国家高技术研究发展计划(863)No.2006AA01Z150~~
关键词 BLOG 内容挖掘 社区发现 重要性分析 Blog搜索 作弊Blog识别 blog content mining community discovery importance analysis blog search spam blogidentification
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  • 1M. Toyoda, Masaru Kitsuregawa. A Web community chart for navigating related communities. The 10th Int'l WWW Conf.,Hong Kong, 2001.
  • 2P. K. Reddy, Masaru Kitsuregawa. Inferring Web communities through relaxed-cocitation and power-law. Kitsuregawa Lab,Annual Report, 2001.
  • 3A. Z. Brodei', R. Kumar, F. Maghoul, et al. Graph structurein the web. Computer Networks, 2000, 33( 1-6): 309--320.
  • 4R. Albert, H. Jeong, A. -L. Barab6si. Diameter of the World-Wide Web. Nature, 1999, 401: 130--131.
  • 5D. M. Pennock, G. W. Flake, S. Lawrence. Winners don't take all: Characterizing the competition for links on the web.[EB/OL] . http://www.pnas.org/cgi/content/full/99/8/5207,2002-04-16.
  • 6M. R. Henzinger, R. Motwani, C. Silverstein. Challenges in web search engines. The 25th Int' 1SIGIR Conf. on Research and Development in Information Retrieval, Tampere, Finland, 2002.
  • 7S. Chakrabarti, B. E. Dom, D. Gibson, et al. Topic distillation and spectral filtering. Artificial Intelligence Review,1999, 13(5-6): 409--435.
  • 8D. Zhang, Y. Dong. An efficient algorithm to rank web resources. Computer Networks, 2000, 33(1-6): 449--455.
  • 9S. Chakrabarti, B. E. Dom, S. R. Kumar, et al. Mining the Web's link structure. IEEE Computer, 1999, 32(8): 60--67.
  • 10J. Dean, M. R. Henzinger. Finding related pages in the world wide web. The 8th Int'l WWW Conf., Toronto, Canada, 1999.389-- 401.

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