Finding Authoritative Researchers on Academic Web Sites

Authors: Dalibor Fiala, Karel Jezek, Francois Rousselot

Abstract:

In this paper, we present a methodology for finding authoritative researchers by analyzing academic Web sites. We show a case study in which we concentrate on a set of Czech computer science departments- Web sites. We analyze the relations between them via hyperlinks and find the most important ones using several common ranking algorithms. We then examine the contents of the research papers present on these sites and determine the most authoritative Czech authors.

Keywords: Authorities, citation analysis, prestige, ranking algorithms, Web mining.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1072401

References:

[1] S. Brin and L. Page, "The Anatomy of a Large-Scale Hypertextual Web Search Engine," in Proc. 7th World Wide Web Conference, Brisbane, Australia, 1998, pp. 107-117.
[2] S. Chakrabarti, Mining the Web: Analysis of Hypertext and Semi Structured Data. San Francisco, CA: Morgan Kaufmann Publishers, 2003, pp. 209-218.
[3] S. Chakrabarti, B. E. Dom, D. Gibson, R. Kumar, P. Raghavan, S. Rajagopalan, and A. Tomkins, "Spectral Filtering for Resource Discovery," in Proc. ACM SIGIR Workshop on Hypertext Information Retrieval on the Web, Melbourne, Australia, pp. 13-21, 1998.
[4] M. Diligenti, M. Gori, and M. Maggini, "A Unified Probabilistic Framework for Web Page Scoring Systems," IEEE Trans. Knowledge and Data Engineering, vol. 16, no. 1, 2004, pp. 4-16.
[5] C. Ding, X. He, P. Husbands, H. Zha, and H. Simon, "PageRank, HITS and a Unified Framework for Link Analysis," in Proc. 25th ACM SIGIR Conf. Research and Development in Information Retrieval, Tampere, Finland, 2002, pp. 353-354.
[6] C. Ding, X. He, P. Husbands, H. Zha, and H. Simon, "PageRank, HITS and a Unified Framework for Link Analysis," Lawrence Berkeley National Laboratory, University of California, Berkeley, CA, Technical Report 49372, Nov. 2001.
[7] D. Gibson, J. Kleinberg, and P. Raghavan, "Inferring Web Communities from Link Topology," in Proc. 9th ACM Conference on Hypertext and Hypermedia, Pittsburgh, PA, 1998, pp. 225-234.
[8] H. Han, H. Zha, and C. L. Giles, "Name Disambiguation in Author Citations Using a K-way Spectral Clustering Method," in Proc. 5th ACM/IEEE-CS Int. Conf. Digital Libraries, Denver, CO, 2005, pp. 334-343.
[9] J. Kleinberg, "Authoritative Sources in a Hyperlinked Environment," Journal of the ACM, vol. 46, no. 5, 1999, pp. 604-632.
[10] A. K. McCallum, K. Nigam, J. Rennie, and K. Seymore, "Automating the Construction of Internet Portals with Machine Learning," Information Retrieval Journal, vol. 3, no. 2, 2000, pp. 127-163.
[11] L. Page, S. Brin, R. Motwani, and T. Winograd, "The PageRank Citation Ranking: Bringing Order to the Web," Computer Science Department, Stanford University, CA, Technical Report 1999-66, Nov. 1999.
[12] K. Seymore, A. McCallum, and R. Rosenfeld, "Learning Hidden Markov Model Structure for Information Extraction," in Proc. AAAI-99 Workshop Machine Learning for Information Extraction, Orlando, FL, 1999, pp. 37-42.
[13] M. Thelwall, "Extracting Macroscopic Information from Web Links," Journal of the American Society for Information Science and Technology, vol. 52, no. 13, 2001, pp.1157-1168.
[14] M. Thelwall, "The Relationship between the WIFs or Inlinks of Computer Science Departments in UK and Their RAE Ratings or Research Productivities in 2001," Scientometrics, vol. 57, no. 2, 2003, pp. 239-255.