Abstract
A Web cache content mining is a very important part in analyzing and filtering the internet contents. Essentially, a log data will be used to identify either to cache or not to cache Web contents in a cache server. This data contains dissimilar elements consisting of URL, size, retrieval time, number of hits and other elements for Web contents. In this chapter, we propose a new method and analyses of our cache server data using social network analysis (SNA); and make a number of statistic measurements to reveal the hidden information on E-Learning@UTM (EL) and Boston University (BU) logs dataset. The log dataset was extracted by particular queries, and it was displayed as a connected graph and clustered based on a similarity of characteristics. Later, the statistical properties of dataset network were computed, including speed and complexity. The result shows the SNA important behaviors: data localization in a separate position; and centralized data in a single position approve that the concentration of data to one node. These behaviors are driven by complexity of the dataset and network nodes structure of the chosen log dataset.
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References
Grissa, D., Guillaume, S., Nguifo, E. M.: Combining clustering techniques and formal concept analysis to characterize interestingness measures. CoRR abs/1008.3629 (2010)
Martinez, A., Dimitriadis, Y., Rubia, B., Gomez, E., Fuente, P.D.L.: Combining qualitative evaluation and social network analysis for the study of classroom social interactions. Comput. Educ. 41, 353–368 (2003)
Kudelka, M., Snasel, V., Horak, Z., Hassanien, A.E., Abraham, A.: Web communities defined by web page content. In: Computational Social Networks: Tools, Perspectives and Analysis, pp. 349–370. Springer, London (2010). ISBN 978–1–84882–228–3
Erlin, A., Yusof, N., Abdul, R.A.: Overview on agent application to support collaborative learning interaction. J. US-China Educ. Rev. 5(38), 52–60 (2008). ISSN 1548–6613, USA
Shi, X.: Social Network Analysis of Web Search Engine Query Logs. Technical Report, University of Michigan, School of Information (2007)
Al-Fayoumi Jr., M., Banerjee, S., Mahanti, P.K.: Analysis of social network using clever ant colony metaphor. World Acad. Sci. Eng. Technol. J. 53, 970–974 (2009)
Sammantha, L., Magsino, R.: Applications of Social Network Analysis for Building Community Disaster Resilience: Workshop Summary. National Academies Press, Washington, DC (2009). ISBN 0–309–14095–1
Padmanabhan, V.N., Mogul, J.C.: Using predictive pre-fetching to improve world wide web latency. Comput. Commun. Rev. 26, 22–36. In: ACM, SIGCOMM’96, July 1996
Bestavros, A., Cunha, C.: A pre-fetching protocol using client speculation for the WWW. Technical Report TR-95–011, Boston University, Department of Computer Science, Boston, MA, Apr 1995
Pallis, G., Vakali, A., Pokorny, J.: A clustering-based approach for short-term prefetching on a web cache environment. Comput. Electr. Eng. J. 34(4), 309–323 (2008)
Kroeger, T.M., Long, D.E., Mogul, J.C.: Exploring the bounds of web latency reduction from caching and prefetching. In: USENIX Symposium on Internet Technologies and Systems (USITS), Monterey, CA, 8–11 Dec 1997
Harding, M., Storz O., Davies, N., Friday, A.: Planning ahead: techniques for simplifying mobile service use. In: Proceedings of the 10th workshop on Mobile Computing Systems and Applications, Santa Cruz, CA, pp. 1–6, 23–24 Feb 2009
Ye, F., Li, Q., Chen, E.: Benefit based cache data placement and update for mobile peer to peer networks. World Wide Web J. 14(3), 243–259 (2008)
Sulaiman, S., Shamsuddin, S.M., Forkan, F., Abraham, A., Sulaiman, S.: Intelligent web caching for e-learning log data. In: Third Asia International Conference on Modelling and Simulation, AMS 2009, pp. 136–1410. IEEE Computer Society Press, Washington, DC (2009)
Sulaiman, S., Shamsuddin, S.M., Forkan, F., Abraham, A.: Autonomous SPY: intelligent web proxy caching detection using neurocomputing and particle swarm optimization. In: Proceeding of the 6th International Symposium on Mechatronics and its Applications (ISMA09), Sharjah, UAE, pp. 1–6. IEEE Press, Washington, DC, ISBN: 978–1–4244–3480–0 (2009)
Sulaiman, S., Shamsuddin, S.M., Abraham, A., Sulaiman, S.: Intelligent mobile web pre-fetching using XML technology. In: Proceedings of the Sixth International Conference on Next Generation Web Services Practices (NWeSP 2010), India, pp. 129–134. IEEE Press, Washington, DC, ISBN:978–1–4244–7818–7 (2010)
Sulaiman, S., Shamsuddin, S.M., Abraham, A.: Rough neuro-PSO web caching and XML prefetching for accessing Facebook from mobile environment. In: Proceedings of the 8th International Conference on Computer Information Systems and Industrial Management (CISIM 2009), pp. 884–889. IEEE Press, Washington, DC, ISBN: 978–1–4244–5612–3 (2009)
Sulaiman, S., Shamsuddin, S.M., Abraham, A.: Rough Web Caching, Rough Set Theory: A True Landmark in Data Analysis, Studies in Computational Intelligence, pp. 187–211. Springer, Berlin (2009). ISBN 978–3–540–89920–4
Sulaiman, S., Shamsuddin, S.M., Abraham, A.: Data warehousing for rough web caching and prefetching. In: Proceedings of the IEEE International Conference on Granular Computing (IEEE GrC 2010), San Jose, pp. 443–448. IEEE Computer Society, Washington, DC, ISBN 978–0–7695–4161–7 (2010)
Borgatti, S.P., Everett, M.G.: A graph-theoretic perspective on centrality. Soc. Netw. 28(4), 466–484 (2006)
Butts, C.T.: Social network analysis with SNA. J. Stat. Softw. 24(6), 1–51 (2008)
Acknowledgments
The first author would like to thank the Ministry of Higher Education (MOHE) for her scholarship. The authors also would like to thank Research Management Centre (RMC), Human Capital Development Unit and Soft Computing Research Group (SCRG), K-Economy Research Alliance, Universiti Teknologi Malaysia (UTM) for their overwhelming cooperation. We are sincerely thankful to Ahmad Hoirul Basori for providing helpful and excellent support to realize this research.
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Sulaiman, S., Shamsuddin, S.M., Abraham, A. (2012). Implementation of Social Network Analysis for Web Cache Content Mining Visualization. In: Abraham, A. (eds) Computational Social Networks. Springer, London. https://doi.org/10.1007/978-1-4471-4054-2_14
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DOI: https://doi.org/10.1007/978-1-4471-4054-2_14
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