The centrality of pivotal points in the evolution of scientific networks

International Conference on Intelligent User Interfaces, Proceedings IUI

Volumn , Issue , 2005, Pages 98-105

  Chen, Chaomei ^a  

^a Drexel University   (United States)

Author keywords

Betweenness centrality; Information visualization; Intellectual turning points; Knowledge domain visualization; Research fronts

Indexed keywords

ALGORITHMS; DATA PROCESSING; VISUALIZATION;

BETWEENNESS CENTRALITY; INFORMATION VISUALIZATION; INTELLECTUAL TURNING POINTS; KNOWLEDGE DOMAIN VISUALIZATION; RESEARCH FRONTS;

KNOWLEDGE BASED SYSTEMS;

EID: 33644593248     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1040830.1040859     Document Type: Conference Paper

References (27)

1. Bradshaw, S., Scheinkman, A. and Hammond, K. Guiding people to information: Providing an interface to a digital library using reference as a basis for indexing. In Proceedings of Intelligenet User Interfaces (IUI 2000) (New Orleans, LA, 2000), ACM Press, 2000, 37-43.
2. Brandes, U. A faster algorithm for betweenness centrality. Journal of Mathematical Sociology, 25, 2 (2001), 163-177.
3. Brandes, U. and Corman, S. R. Visual unrolling of network evolution and the analysis of dynamic discourse. Information Visualization, 2, 1 (2003), 40-50.
4. Chen, C. Detecting and mapping thematic changes in transient networks. In Proceedings of the 8th International Conference on Information Visualization (IV'04) (London, 2004), IEEE Computer Society Press, 2004, 1023-1032.
5. Chen, C. Generalised Similarity Analysis and Pathfinder Network Scaling. Interacting with Computers, 10, 2 (1998), 107-128.
6. Chen, C. Information Visualization: Beyond the Horizon. Springer, London, 2004.
7. Chen, C. Searching for intellectual turning points: Progressive Knowledge Domain Visualization. Proc. Natl. Acad. Sci. USA, 101 (2004), 5303-5310.
8. Chen, C. and Morris, S. Visualizing evolving networks: Minimum spanning trees versus Pathfinder networks. In IEEE Symposium on Information Visualization (Seattle, Washington, 2003), IEEE Computer Society Press, 2003, 67-74.
9. Deerwester, S., Dumais, S. T., Landauer, T. K., Furnas, G. W. and Harshman, R. A. Indexing by Latent Semantic Analysis. Journal of the American Society for Information Science, 41, 6 (1990), 391-407.
10. Erten, C., Harding, P. J., Kobourov, S. G., Wampler, K. and Yee, G. Exploring the computing literature using temporal graph visualization. In Conference on Visualization and Data Analysis (VDA) (2004), 2004.
11. Freeman, L. C. A set of measuring centrality based on betweenness. Sociometry, 40 (1977), 35-41.
12. Girvan, M. and Newman, M. E. J. Community structure in social and biological networks. Proc. Natl. Acad. Sci. USA, 99 (2002), 7821-7826.
13. Granovetter, M. Strength of weak ties. American Journal of Sociology, 8 (1973), 1360-1380.
14. Havre, S., Hetzler, E., Whitney, P. and Nowell, L. ThemeRiver: Visualizing thematic changes in large document collections. IEEE Transactions on Visualization and Computer Graphics, 8, 1 (2002), 9-20.
15. Kassier, M. M. Bibliographic coupling between scientific papers. American Documentation, 14(1963), 10-25.
16. Kleinberg, J. Bursty and hierarchical structure in streams. In Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (Edmonton, Alberta, Canada, 2002), ACM Press, 2002, 91-101.
17. Maybury, M. T. and Wahlster, W. Readings in Intelligent User Interfaces. Morgan Kaufmann Publishers, San Francisco, CA, 1998.
18. Morris, S. A., Yen, G., Wu, Z. and Asnake, B. Timeline visualization of research fronts. J. Am. Soc. Inf. Sci. Technol., 55, 5 (2003), 413-422.
19. Norman, D. A. The Invisible Computer: Why Good Products Can Fail, The Personal Computer is so Complex, and Information Appliances are the Solution. MIT Press, Cambridge, MA., 1998.
20. Price, D. D. Networks of scientific papers. Science, 149 (1965), 510-515.
21. Radicchi, F., Castellano, C., Cecconi, F., Loreto, V. and Parisi, D. Defining and identifying communities in networks arXiv: cond- mat/0309488 v1, 2003.
22. Sack, W. Conversation Map: A content-based usenet newsgroup browser. In Proceedings of Intelligent User Interfaces (IUI 2000) (New Orleans, LA, 2000), ACM Press, 2000, 233-240.
23. Salton, G., Allan, J. and Buckley, C. Automatic structuring and retrieval of large text files. Communications of the ACM, 37, 2 (1994), 97-108.
24. Schvaneveldt, R. W. (ed.), Pathfinder Associative Networks: Studies in Knowledge Organization. Ablex Publishing Corporations, Norwood, New Jersey, 1990.
25. Small, H. G. A co-citation model of a scientific specialty: A longitudinal study of collagen research. Soc. Stud. Sci., 7 (1977), 139-166.
26. Swan, R. and Jensen, D. TimeMines: Constructing timelines with statistical models of word usage. In the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2000), 2000.
27. White, H. D., Lin, X., Buzydlowski, J. W. and Chen, C. User-controlled mapping of significant literatures. Proc. Natl. Acad. Sci. USA, 101 (2004), 5297-5302.