The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.03 - May/June (2010 vol.14)
pp: 42-49
Marcos André Gonçalves , Universidade Federal de Minas Gerais
Jussara M. Almeida , Universidade Federal de Minas Gerais
Luiz G.P. dos Santos , Universidade Federal de Minas Gerais
Alberto H.F. Laender , Universidade Federal de Minas Gerais
Virgílio Almeida , Universidade Federal de Minas Gerais
ABSTRACT
The blogosphere's more outgoing and informal social nature provides an opportunity to exploit more socially oriented features, such as credibility and popularity, for searching, recommendation, and other tasks. In this article, the authors present evidence that blog popularity in particular has been underexploited by current search engines, including specialized ones, and that a low correlation exists between such popularity and a blog's perceived importance in a Web graph, as measured by PageRank. The authors suggest that incorporating popularity into search engine ranking could result in significant gains in retrieval effectiveness and thus user satisfaction.
INDEX TERMS
blogs, blog popularity, social networks, search
CITATION
Marcos André Gonçalves, Jussara M. Almeida, Luiz G.P. dos Santos, Alberto H.F. Laender, Virgílio Almeida, "On Popularity in the Blogosphere", IEEE Internet Computing, vol.14, no. 3, pp. 42-49, May/June 2010, doi:10.1109/MIC.2010.73
REFERENCES
1. S. Bao et al., "Optimizing Web Search Using Social Annotations," Proc. World Wide Web Conf. (WWW 07), ACM Press, 2007, pp. 501–510.
2. N. Agarwal and H. Liu, "Blogosphere: Research Issues, Tools, and Applications," ACM SIGKDD Exploration Newsletter, vol. 10, no. 1, 2008, pp. 18–31.
3. C. Hayes and Paolo Avesani, "Using Tags and Clustering to Identify Topic-Relevant Blogs," Proc. Int'l Conf. Weblogs and Social Media (ICWSM 07), 2007; www.icwsm.org/paperspaper23.html.
4. A. Kritikopoulos, M. Sideri, and I. Varlamis, "BlogRank: Ranking WebLogs Based on Connectivity and Similarity Features," Proc. Int'l Workshop Advanced Architectures and Algorithms for Internet Delivery and Applications (AAA-IDEA 06), IEEE CS Press, 2006, pp. 73–80.
5. S.B. Subramanya and H. Liu, "SocialTagger — Collaborative Tagging for Blogs in the Long Tail," Proc. 2008 ACM Workshop on Search in Social Media (SSM 08), ACM Press, 2008, pp. 19–26.
6. G. Attardi and M. Simi, "Blog Mining through Opinionated Words," Proc. Text Retrieval Conf. (TREC 06), 2006; http://trec.nist.gov/pubs/trec15/papersupisa.blog.final.pdf .
7. R. Baeza-Yates and B. Ribeiro-Neto, Modern Information Retrieval, Addison-Wesley, 1999.
8. A. Bihun et al., Ranking Blog Documents, US patent 20,070,061,297, Patent and Trademark Office, 2007.
9. C.-L. Lin, H.-L. Tang, and H.-Y. Kao, "Utilizing Social Relationships for Blog Popularity Mining," Proc. 5th Asia Information Retrieval Symp. Information Retrieval Technology (AIRS 09), Springer-Verlag, 2009, pp. 409–419.
10. G. Kim and H.S. SangKi, "A Study of Online (Digital) Reputation in Blogosphere Based on Relationship and Activity," Proc. Int'l Conf. Cyberworlds, IEEE CS Press, 2008, pp. 173–179.
11. B. Ulicny, K. Baclawski, and A. Magnus, "New Metrics for Blog Mining," Proc. SPIE Defense & Security Symp. (SPIE 07), 2007; http://vistology.com/papersVistologySPIE07.pdf .
12. P. Kolari, A. Java, and T. Finin, "Characterizing the Splogosphere," Proc. Workshop Weblogging Ecosystem, University of Maryland, Baltimore County, 2006; http://ebiquity.umbc.edu/paper/html/id/299 Characterizing-the-Splogosphere.
13. Y.-R. Lin et al., "Splog Detection Using Self-Similarity Analysis on Blog Temporal Dynamics," Proc. 3rd Int'l Workshop Adversarial Information Retrieval on the Web (AirWeb 07), ACM Press, 2007, pp. 1–8.
14. F. Duarte et al., "Traffic Characteristics and Communication Patterns in Blogosphere," Proc. Int'l Conf. Weblogs and Social Media (ICWSM 07), 2007; www.icwsm.org/paperspaper8.html.
15. K. Jarvelin and J. Kekalainen, "Cumulated Gain-Based Evaluation of IR Techniques," ACM Trans. Information Systems, vol. 20, no. 4, 2002, pp. 422–446.
6 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool