Database Reference
In-Depth Information
3.4 Conclusions
In this chapter, we have discussed the social aspect of CBD and how the techniques
of SNA can be useful in the understanding of these databases and their evolution.
We suggest that this perspective be the subject of future research.
References
1. Adler, B.T., De Alfaro, L.: A content-driven reputation system for the Wikipedia. In:
Proceedings of the 16th International World Wide Web Conference (2007)
2. Atzenbeck, C., Hicks, D.L.: Socs: Increasing social and group awareness for wikis by example
of Wikipedia, WikiSym (2008)
3. Belohlavek, R., Sklenar, V.: Formal concept analysis constrained by attribute-dependency
formulas ICFCA, vol. 3403 pp. 176-191 (2005)
4. Borgatti, S.P., Everett, M.G.: Network analysis of 2-mode data. Soc. Networks 19, 243-269
(1997)
5. Brandes, U., Kenis, P., Lerner, J., van Raaij, D.: Network analysis of collaboration structure in
Wikipedia. In: Proceedings of the 18th International Conference on World Wide Web, pp.
731-740 (2009)
6. Burke, M., Kraut, R.: Mopping up: Modeling Wikipedia promotion decisions. In: Proceedings
of the ACM 2008 Conference on Computer Supported Cooperative Work, pp. 27-36 (2008)
7. Butler, B., Joyce, E., Pike, J.: Don't look now, but we've created a bureaucracy: the nature
and roles of policies and rules in Wikipedia. In: Proceeding of the 26th annual SIGCHI
Conference on Human Factors in Computing Systems, pp. 1101-1110 (2008)
8. Cao, B., Shen, D., Sun, J.T., Wang, X., Yang, Q., Chen, Z.: Detect and track latent factors with
online nonnegative matrix factorization. In: The 12th International Joint Conference on
Artificial Intelligence, pp. 2689-2694 (2007)
9. Cosley, D., Frankowski, D., Terveen, L., Riedl, J.: SuggestBot: Using intelligent task routing
to help people find work in Wikipedia. In: Proceedings of the 12th International Conference
on Intelligent User Interfaces, pp. 32-41 (2007)
10. Crandall, D., Cosley, D., Huttenlocher, D., Kleinberg, J., Suri S.: Feedback effects between
similarity and social influence in online communities. In: Proceeding of the 14th ACM
SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 160-168
(2008)
11. Davis, A., Gardner, B.B., Gardner, M.R.: Deep South: A Social Anthropological Study of
Caste and Class. University of Chicago Press, Chicago (1965)
12. Deerwester, S., Dumais, S.T., Furnas, G.W., Landauer, T.K., Harshman, R.: Indexing by
latent semantic analysis. J. Am. Soc. Inf. Sci. 41, 391-407 (1990)
13. Demartini, G.: Finding experts using Wikipedia. In: Proceedings of the Workshop on Finding
Experts on the Web with Semantics (FEWS2007) at ISWC/ASWC2007 (2007)
14. Egghe, L., Rousseau, R.: Classical retrieval and overlap measures satisfy the requirements for
rankings based on a Lorenz curve. Inf. Process. Manage. 42, 106-120 (2006)
15. Farach-Colton, M., Huang, Y.: A linear delay algorithm for building concept lattices, Combi-
natorial Pattern Matching: 19th Annual Symposium (2008)
16. Freeman, L.C.: Visualizing social networks. J. Soc. Struct. 1, 4 (2000)
17. Freeman, L.C.: The Development of Social Network Analysis. Empirical Press Vancouver,
British Columbia (2004)
18. Freeman, L.C., White, D.R.: Using Galois lattices to represent network data. Sociol. Metho-
dol. 23, 127-146 (1993)
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