Webometrics benefitting from web mining? An investigation of methods and applications of two research fields

Author:

Lorentzen David Gunnarsson

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Computer Science Applications,General Social Sciences

Reference176 articles.

1. Aguillo, I. (2009). Measuring the institution’s footprint in the web. Library Hi Tech, 27(4), 540–556.

2. Aguillo, I. F., Granadino, B., Ortega, J. L., & Prieto, J. A. (2006). Scientific research activity and communication measured with cybermetrics indicators. Journal of the American Society for Information Science and Technology, 57(10), 1296–1302.

3. Ai, D., Zhang, Y., Zuo, H., & Wang, Q. (2006). Web content mining for market intelligence acquiring from B2C websites. In L. Feng, et al. (Eds.), WISE 2006 Workshops, LNCS 4256 (pp. 159–170). Berlin: Springer-Verlag.

4. Akcora, C. G., Bayir, M. A., Demirbas, M. & Ferhatosmanoglu, H. (2010). Identifying breakpoints in public opinion. SOMA 2010: Proceedings of the 1st Workshop on Social Media Analytics (pp. 62–66).

5. Algur, S. P., Patil, A. P., Hiremath, P. S. & Shivashankar, S. (2010). Conceptual level similarity measure based review spam detection. Proceedings of the 2010 International Conference on Signal and Image Processing, ICSIP 2010 (pp. 416–423).

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