Home » References & Readings » Knowledge Domain Visualization (KDViz) and Social Network Analysis

Knowledge Domain Visualization (KDViz) and Social Network Analysis

Börner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. In B. Cronin (Ed.), Annual Review of Information Science & Technology (pp. 179-255). Retrieved August 15, 2012, from http:/​/​nwb.cns.iu.edu/​papers/​arist02.pdf

Boyack, K.W. (2004). Mapping knowledge domains: Characterizing PNAS. Proceedings of the National Academy of Sciences 101(Suppl 1), S192-S199. doi: 10.1073/pnas.0307509100

Boyack, K.W., Klavans, R., & Börner, K. (2005). Mapping the backbone of science. Scientometrics, 64(3), 351-374. Retrieved September 25, 2012, from http://scimaps.org/exhibit/docs/05-boyack.pdf

Chen, C. (2003). Mapping scientific frontiers: The quest for knowledge visualization (Kindle ed.). Berlin, DE: Springer. Available from http://www.amazon.com

Chen, C. (2004). Searching for intellectual turning points: Progressive knowledge domain visualization. Proceedings of the National Academy of Sciences 101(Suppl 1), S303-S310. doi: 10.1073/pnas.0307513100

Chen, C. (2005). Measuring the quality of a network visualization. In Proceedings of the 5th ACM/IEEE-CS Joint Conference on Digital Libraries, p. 405. doi:

Chen, C. (2006a). CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology, 57(3), 359-377. doi:10.1002/asi.20317

Chen, C. (2006b). Information visualization: Beyond the horizon (2nd ed. /Kindle ed.). Berlin, DE: Springer. Available from http://www.amazon.com

Chen, C., Hu, Z., Liu, S., & Tseng, H. (2012). Emerging trends in regenerative medicine: a scientometric analysis in CiteSpace. Expert Opinions in Biological Therapies, 12(5), 593-608. doi:10.1517/14712598.2012.674507

Chen, C., Ibekwe-SanJuan, F., & Hou, J. (2010). The structure and dynamics of cocitation clusters: A multiple-perspective cocitation analysis. Journal of the American Society for Information Science and Technology 61(7), 1386-1409. doi: 10.1002/asi.21309

Chen, C., Kuljis J., & Paul, R. J. (2001). Visualizing latent domain knowledge. IEEE Transactions on Systems, Man, and Cybernetics-Part C: Applications and Reviews, 31(4), 518-529. Retrieved October 16, 2012, from

Chen, C., & Paul, R. J. (2001). Knowledge domain’s intellectual structure. Computer, 34(3), 65-71. Retrieved September 4, 2012, from dspace.library.drexel.edu/​bitstream/​1860/​1935/​1/​2006175222.pdf

Crane, D. (1972). Invisible colleges: Diffusion of knowledge in scientific communities. Chicago: University of Chicago Press.

Dwivedi, Y. K., Lal, B., Mustafee, N., & Williams, M. D. (2009). Profiling a decade of Information Systems Frontiers’ research. Information Systems Frontiers, 11(1), 87-102. doi:10.1007/​s10796-008-9147-7

Kadushin, C. (2012). Understanding social networks (Kindle ed.). New York, NY: Oxford University Press. Available from http://www.amazon.com

Kleinberg, J. (2002, July 23-25). Bursty and hierarchical structure in streams. Paper presented at the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Edmonton, Alberta, Canada. doi:10.1145/775047.775061

Kuhn, T. S. (1996). The structure of scientific revolutions (3rd ed.). Chicago: University of Chicago Press. (Original work published 1962)-this seminal work in the philosophy of science is not about KDViz, but the work is a significant influence on many of the researchers working in Scientometrics and KDViz, including Dr. Chen.

Mane, K.K., & Börner, K. (2004). Mapping topics and topic bursts in PNAS. Proceedings of the National Academy of Sciences 101(Suppl 1), S287-S290. doi: 10.1073/pnas.0307626100

Purchase, H. C., Andrienko, N., Jankun-Kelly, T. J., & Ward, M. (2008). Theoretical foundations of information visualization. In A. Kerren, J. T. Statsko, J. D. Fekete, & C. North (Eds.), Information Visualization: Human-Centered Issues and Perspectives (Lecture Notes in Computer Science Vol. 4950, pp. 51-70). Retrieved September 2, 2012, from http://www.dcs.gla.ac.uk/publications/PAPERS/9041/theoretical%20foundations%20of%20information%20visualisation.pdf

Reid, E. F., & Chen, H. (2007). Mapping the contemporary terrorism research domain. International Journal of Human-Computer Studies, 65(1), 42-56. doi:10.1016/j.ijhcs.2006.08.006

Rorissa, A., & Yuan, X. (2012). Visualizing and mapping the intellectual structure of information retrieval. Information Processing & Management, 48(1), 120-135. Retrieved October 3, 2012, from http://www.albany.edu/~ar955283/pubs/preprint_Abebe_Jenny_ IPM_2011.pdf

Samoylenko, I., Chao, T.C., Liu, W.C., & Chen, C.M. (2006). Visualizing the scientific world and its evolution. Journal of the American Society for Information Science and Technology 67(11), 1461-1469. Retrieved October 5, 2012, from http://citeseerx.ist.psu.edu/viewdoc/download?doi=

Synnestvedt, M.B., Chen, C., & Holmes, J.H. (2005). CiteSpace II: Visualization and knowledge discovery in bibliographic databases. 2005 AMIA Annual Symposium Proceedings 2005, 724-728. Retrieved September 12, 2012, from http://www.ncbi.nlm.nih.gov/pmc/articles/ PMC1560567/pdf/amia2005_0724.pdf

Vargas-Quesada, B., De-Moya-Anegón, F., Chinchilla-Rodríguez, Z., & González-Molina, A. (2006). Domain analysis by means of the visualization of maps of vast scientific domains. Paper presented at the I International Conference on Multidisciplinary Information Sciences & Technologies, Merida, Spain. Retrieved October 2, 2012, from http://eprints.rclis.org/bitstream/10760/8628/1/Domain_analysis_by_means_of_the_visualization_of_maps_of_vast_scientific_domains.pdf

Vargas-Quesada, B., & de Moya-Anegón, F. (2007). Visualizing the structure of science (Kindle edition). Berlin, DE: Springer. Available from http://www.amazon.com

White, H.D., & McCain, K.W. (1998). Visualizing a discipline: An author co-citation analysis of information science, 1992-1995. Journal of the American Society for Information Science 49(4), 327-355. doi:

Zhao, R., & Wang, J. (2011). Visualizing the research on pervasive and ubiquitous computing. Scientometrics, 86, 593-612. doi:10.1007/​s11192-010-0283-8

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