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Mining the Blogosphere for Sociological Inferences

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Contemporary Computing (IC3 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 94))

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Abstract

The blogosphere, which is the name given to the universe of all blog sites, is now a collection of a tremendous amount of user generated data. The ease & simplicity of creating blog posts and their free form and unedited nature have made the blogosphere a rich and unique source of data, which has attracted people and companies across disciplines to exploit it for varied purposes. The large volume of data requires developing appropriate automated techniques for searching and mining useful inferences from the blogosphere. The valuable data contained in posts from a large number of users across geographic, demographic and cultural boundaries provide a rich opportunity for not only commercial exploitation but also for cross-cultural psychological & sociological research. This paper tries to present the broader picture in and around this theme, chart the required academic and technological framework for the purpose and presents initial results of an experimental work to demonstrate the plausibility of the idea.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Banaras Hindu University, Varanasi, 221005, U.P., India

    Vivek Kumar Singh

Authors
  1. Vivek Kumar Singh
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Editor information

Editors and Affiliations

  1. Dept. of Computer Sciences, University of Florida, 32611, Gainesville, FL, USA

    Sanjay Ranka

  2. University of Florida, Gainesville, Fl, USA

    Arunava Banerjee

  3. Department of Computer Science and Engineering, Indian Institute of Technology, 110016, New Delhi, INDIA

    Kanad Kishore Biswas

  4. Computer Science, College of Engineering and Science, Louisiana Tech University, LA 71272, Ruston, USA

    Sumeet Dua

  5. University of Florida, Gainesville, FL, USA

    Prabhat Mishra

  6. Department of Computer Science & Engineering, Indian Institute of Technology, 208016, Kanpur, India

    Rajat Moona

  7. National Tsing Hua University, Hsin-Chu, Taiwan, R.O.C.

    Sheung-Hung Poon

  8. Department of Computer Science, The University of Hong Kong, Pokfulam Road, Hong Kong

    Cho-Li Wang

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© 2010 Springer-Verlag Berlin Heidelberg

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Singh, V.K. (2010). Mining the Blogosphere for Sociological Inferences. In: Ranka, S., et al. Contemporary Computing. IC3 2010. Communications in Computer and Information Science, vol 94. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14834-7_51

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  • DOI: https://doi.org/10.1007/978-3-642-14834-7_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14833-0

  • Online ISBN: 978-3-642-14834-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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