Using internal link and social network analysis to support searches in Wikipedia: A model and its evaluation

Journal of Information Science

Volumn 37, Issue 2, 2011, Pages 189-207

  Wu, I Chin ^a   Wu, Che Ying ^a  

^a FU JEN CATHOLIC UNIVERSITY   (Taiwan)

Author keywords

link analysis; social network analysis; task oriented evaluation; WikiMap; Wikipedia

Indexed keywords

LINK ANALYSIS; SOCIAL NETWORK ANALYSIS; TASK-ORIENTED EVALUATION; WIKIMAP; WIKIPEDIA;

DECISION MAKING; HYPERTEXT SYSTEMS; WORLD WIDE WEB;

ELECTRIC NETWORK ANALYSIS;

EID: 79954549238     PISSN: 01655515     EISSN: 17416485     Source Type: Journal    
DOI: 10.1177/0165551511400955     Document Type: Article

References (50)

1. T. Berners-Lee, L. Masinter and M. McCahill, Uniform resource locators (URL). RFC (1738) ( 1994 ).
2. K. Byström, Municipal administrators at work-information needs and seeking (IN&S) in relation to task complexity: a case-study amongst municipal officials. In: Proceedings of International Conference on Information Seeking in Context, Tampere, Finland, 1997 (Taylor Graham, London, 1997) 125-146.
3. G. Marchionini, (eds), Information Seeking in Electronic Environments ( Cambridge University Press, Cambridge, 1997 ).
4. K. Martzoukou, A review of web information seeking research: considerations of method and foci of interest. Information Research 10 (2) (2005). Available at: http://informationr.net/ir/10-2/paper215.html (accessed 30 November 2010 ).
5. M. Montebello, Information overload-an IR problem? String Processing and Information Retrieval: A South American Symposium, (Santa Cruz de la Sierra, Bolivia, September 9-11, 1998) 65-74.
6. T.H. Ong, H. Chen, W.K. Sung and B. Zhu, Newsmap: a knowledge map for online news. Decision Support Systems 39 (4) (2005) 583-597.
7. R. Baeza-Yates and B. Ribeiro-Neto, Modern Information Retrieval ( ACM Press, New York, 1999 ).
8. C.D. Manning, P. Raghavan and H. Schütze (eds) Introduction to Information Retrieval. ( Cambridge University Press, Cambridge, 2008 ).
9. B. Yuwono and D.L. Lee, WISE: a World Wide Web resource database system. IEEE Transaction Knowledge and Data Engineering 8 (4) (1996) 548-554. (Pubitemid 126774377)
10. P. Calado, M. Cristo, M.A. Goncalves, E.S. de Moura, B. Ribeiro-Neto and N. Ziviani, Link-based similarity measures for the classification of Web documents. Journal of the American Society for Information Science and Technology 57 (2) (2006) 208-221.
11. S. Brin and L. Page, The anatomy of a large-scale hypertextual web search engine. Computer Network 30 (1-7) (1998) 107-117.
12. J. Carriere and R. Kazman, WebQuery: searching and visualizing the web through connectivity. In: Proceedings of Sixth International World Wide Web Conference, Santa Clara, California, USA, April 7-11, 1997 (ACM Press, New York, 1997) 701-711.
13. J. Kleinberg, (1998). Authoritative sources in a hyperlinked environment. In: Proceedings of the 9th ACM-SIAM Symposium on Discrete Algorithms (SODA'98), San Francisco, California, July 25-27, 1998 (ACM Press, New York, 1998) 668-677.
14. L. Page, S. Brin, R. Motwani and T. Winograd, (1998). The pagerank citation ranking: bringing order to the web. Technical Report (Computer Science Department, Stanford Digital Library, CA, USA) 1999-10120.
15. J. Kleinberg, Authoritative sources in a hyperlinked environment. Journal of the ACM 46 (5) (1999) 604-632.
16. S. Wasserman and K. Faust (eds), Social Network Analysis: Methods and Applications ( Cambridge University Press, Cambridge, 1994 ).
17. P. Borlund, Experimental components for the evaluation of interactive information retrieval systems, Journal of Documentation 56 (1) (2000) 71-90.
18. P. Borlund, The IIR evaluation model: a framework for evaluation of interactive information retrieval systems. Information Research 8 (3) (2003). Available at: http://informationr.net/ir/8-3/paper152.html (accessed 30 November 2010 ).
19. P. Borlund and J.W. Schneider, Reconsideration of the simulated work task situation: A context instrument for evaluation of information retrieval interaction. In: Kelly, D. et al (eds). Proceeding of the Third Symposium on Information Interaction in Context 2010 (IIiX 2010). New Brunswick, New Jersey, USA, August 18-21, 2010 (ACM Press, New York, 2010) 155-164.
20. J. Vegas, F. Crestani and P.D.L. Fuente, Context representation for web search results. Journal of Information Science 33 (1) (2007) 77-94. (Pubitemid 46184377)
21. G. Almpanidisa, C. Kotropoulos and I. Pitas, Combining text and link analysis for focused crawling: an application for vertical search engines, Information Systems 32 (6) (2007) 886-908.
22. B. Liu (ed.), Web Data Mining: Exploring Hyperlinks, Contents and Usage Data ( Springer Verlag, New York, 2007 ).
23. K. Dave, S. Lawrence and D.M. Pennock, Mining the peanut gallery: Opinion extraction and semantic classification of product reviews. In: Proceedings of the 12th International Conference on World Wide Web, (ACM, New York, 2003) 519-528.
24. X. Ding and B. Liu, The utility of linguistic rules in opinion mining, In: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Amsterdam, Netherlands, July 23-27, 2007 (AMC Press, New York, 2007) 811-812.
25. M. Hu and B. Liu, Mining and summarizing customer review. In: Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Seattle, USA, August 22-25, 2004 (ACM Press, New York, 2004) 168-177.
26. L.-W. Ku, H.-W. Ho, and H.-H. Chen, Opinion mining and relationship discovery using CopeOpi opinion analysis system. Journal of the American Society for Information Science and Technology 60 (7) (2009) 1486-1503.
27. J. Yi, T. Nasukawa, R. Bunescu and W. Niblack, Sentiment analyzer: extracting sentiments about a given topic using natural language processing. In: Proceedings of the 3rd IEEE International Conference on Data Mining, Melbourne, Florida, 19-22 November 2003 (IEEE Press, New York, 2003) 427-434.
28. K. Yang, Combining text- and link-based methods for Web IR. In: E. M. Voorhees and D. K. Harman (eds), Proceedings of the 10th Text Rerieval Conference (TREC-10), Washington, DC, 2002.
29. J. P. Scott (ed.), Social Network Analysis: a Handbook ( Sage Publications Ltd, London, 2000 ).
30. P. Hage and F. Harary (eds), Structural Models in Anthropology ( Cambridge University Press, New York, 1983 ).
31. C.H. Hubbell, An input-output approach to clique identification. Sociolmetry 28 (1965) 377-399.
32. A. Bavelas, A mathematical model of group structures. Human Organizations 7 (3) (1948) 16-30.
33. L.C. Freeman, A set of measures of centrality based on betweenness. Sociometry 40 (1) (1977) 35-41.
34. J.M. Anthonisse, The Rush in a Directed Graph (Stichting Mathematisch Centrum, Amsterdam, 1971 ).
35. L.C. Freeman, Centrality in social networks: conceptual clarification. Social Networks 1 (3) (1979) 215-239.
36. J. Niemincn, On centrality in a graph. Scandinavian Journal of Psychology 15 (1) (1974) 322-336.
37. H.K. Chiang, H.W. Chen and J.R. Yang, The development and application of an automatic link analysis algorithm for social networks, Journal of Information Management 15 (3) (2008) 157-180.
38. A. Chin and M. Chignell, A social hypertext model for finding community in blogs. In: Proceedings of the Seventeenth Conference on Hypertext and Hypermedia, Odense, Denmark, 2006 (ACM Press, New York, 2006) 11-22.
39. B. Yang, Z. Liu and J.A. Meloche, Visualization of the Chinese academic web based on social network analysis, Journal of Information Science 36 (2) (2010) 131-143.
40. D. Boyd and N. Ellison, Social network sites: definition, history, and scholarship, Journal of Computer-Mediated Communication 13 (1) (2007). Available at: http://jcmc.indiana.edu/vol13/issue1/boyd.ellison.html.
41. M. Parameswaran and A.B. Whinston, Research issues in social computing. Journal of the Association of Information Systems 8 (6) (2007) 336-350.
42. R.L. Cross, A. Parker and S.P. Borgatti, A birds-eye view: using social network analysis to improve knowledge creation and sharing. Knowledge Directions 2 (1) (2000) 48-61.
43. J.L. Ortega and I.F. Aguillo, Visualization of the Nordic academic web: link analysis using social network tools, Information Processing and Management: an International Journal 44 (4) (2008) 1624-1633. (Pubitemid 351749761)
44. C. Sternitzke, A. Bartkowski and R. Schramm, Visualizing patent statistics by means of social network analysis tools. World Patent Information 30 (2) (2008) 115-131.
45. G. Jeh and J. Widom, Simrank: A measure of structural-context similarity. In Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Edmonton, Alberta, Canada, July 23-26, 2002 (ACM Press, New York, 2002) 538-543.
46. P. Zhao, J. Han and Y. Sun, (2009). P-rank: A comprehensive structural similarity measure over information networks. In: Proceedings of the 18th ACM Conference on Information and Knowledge Management, Hong Kong, 2-6 November 2009 (ACM Press, New York, 2009) 553-562.
47. R.D. Alba, A graph-theoretic definition of a sociometric clique, Journal of Mathematical Sociology 3 (1) (1973) 113-126.
48. Java Universal Network/Graph (JUNG) framework, Available at: http://jung.sourceforge.net/index.html (accessed 30 November 2010 ).
49. J. Preece (ed.), Human-Computer Interaction ( Addison-Wesley, MA, 1994 ).
50. D.E. Knuth, Sorting by exchanging. In Varga, R.S. and M.A. Harrington (eds), The Art of Computer Programming 3. Sorting and Searching (Addison-Wesley, Boston, MA) 106-110.