American Journal of Information Science and Computer Engineering
Articles Information
American Journal of Information Science and Computer Engineering, Vol.2, No.5, Sep. 2016, Pub. Date: Jul. 27, 2016
A Proposal on the 3D Visualization and 3D Mapping of Knowledge Structure
Pages: 45-52 Views: 3554 Downloads: 1114
Authors
[01] Simon S. Li, School of Information Management, Nanjing University, Nanjing, China; Jiangsu Key Laboratory of Data Engineering and Knowledge Service, Nanjing, China.
[02] Xia Lin, College of Computing and Informatics, Drexel University, Philadelphia, USA.
[03] Fred Y. Ye, School of Information Management, Nanjing University, Nanjing, China; Jiangsu Key Laboratory of Data Engineering and Knowledge Service, Nanjing, China.
Abstract
Compared with 2D technology, the 3D visualization and 3D mapping could provide a new technical methodology for information visualization, knowledge visualization and science mapping. In this article, the 3D visualization and 3D mapping are realized by using software tools Mage and Mayavi while drawing 3D graph. The 3D graph can rotate and move in the space for visualizing knowledge structure, with keeping 3D drawing three theorems. Two cases are shown in the article: one case is the two layers network; the other belongs to three layers network. With the revealing of the 3D core structures of multilayer networks, the information and knowledge visualization and science mapping have the potential to be promoted.
Keywords
3D Visualization, 3D Mapping, Information Visualization, Knowledge Visualization, Science Mapping, H-crystal, Knowledge Structure
References
[01] H. Small, B. C. Griffith, The structure of scientific literatures I: Identifying and graphing specialties, Science Studies, 4(1), 17–40 (1974).
[02] H. Small, E. Garfield, The geography of science: Disciplinary and national mappings, Journal of Information Science, 11(4), 147–159 (1985).
[03] K. McCain, Mapping economics through the journal literature: An experiment in journal co-citation analysis, Journal of the American Society for Information Science, 42(4), 290–296 (1991).
[04] E. Garfield, Scientography: Mapping the tracks of science, Current Contents: Social & Behavioural Sciences, 7(45), 5–10(1994).
[05] H.D. White, K. W. McCain, Visualizing a Discipline: An Author Co-Citation Analysis of Information Science, 1972–1995, Journal of the American Society for Information Science, 49(4), 327–355 (1998).
[06] H. Small, Visualizing science by citation mapping, Journal of the American Society for Information Science, 50(9), 799–813(1999).
[07] C. Chen, 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 (2006).
[08] E. Garfield, A. I. Pudovkin and V. S. Istomin, Why Do We Need Algorithmic Historiography? Journal of the American Society for Information Science and Technology, 54(5), 400–412(2003).
[09] H. Small, Paradigms, Citations, and Maps of Science: A Personal History, Journal of the American Society for Information Science and Technology, 54(5), 394–399 (2003).
[10] M. Chen, D. Ebert, H. Hagen, et al, Data, information, and knowledge in visualization, IEEE Computer Graphics and Applications, 29(1), 12-19 (2009).
[11] C. Chen, Visualization of knowledge structures, Handbook of software engineering and knowledge engineering, 2002, 2, 201-238 (2002).
[12] T. Keller, S. O. Tergan, Visualizing knowledge and information: An introduction, Knowledge and information visualization, Springer Berlin Heidelberg, 1-23(2005).
[13] H. N. Su, P. C. Lee, Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in Technology Foresight, Scientometrics, 85(1), 65-79(2010).
[14] R. J. Paul, Visualizing a knowledge domain’s intellectual structure, IEEE Computer, 34(3), 65-71(2001).
[15] R. M. Shiffrin, K. Börner, Mapping knowledge domains, Proceedings of the National Academy of Sciences, 101, 5183-5185(2004).
[16] J. Zhang, J. Xie, W. Hou, et al, Mapping the knowledge structure of research on patient adherence: knowledge domain visualization based co-word analysis and social network analysis, PloS one, 7(4), e34497(2012).
[17] M. Eppler, R. Burkhard, Knowledge visualization, Encyclopedia of knowledge management, 551-560(2005).
[18] A. J. Cañas, R. Carff, G. Hill, et al. Concept maps: Integrating knowledge and information visualization, Knowledge and information visualization. Springer Berlin Heidelberg, 205-219 (2005).
[19] J. Sun, P. Zhang, Visualization of researcher's knowledge structure based on knowledge network, Industrial Engineering and Engineering Management, 2067-2071(2009).
[20] X. Lin, D. Zhang, Visualization of Knowledge Structures, 11th International Conference Information Visualization, 476-484 (2007).
[21] N. J. van Eck, L. Waltman, Software survey: VOSviewer, a computer programfor bibliometric mapping, Scientometrics, 84, 523–538 (2010).
[22] M. J. Cobo, A. G. López-Herrera, E. Herrera-Viedma and F. Herrera, Science Mapping Software Tools: Review, Analysis, and Cooperative Study Among Tools, Journal of the American Society for Information Science and Technology, 62(7), 1382–1402(2011).
[23] M. De Domenico, M. A. Porter, A. Arenas, MuxViz: a tool for multilayer analysis and visualization of networks, Journal of Complex Networks, 3 (2): 159-176 (2014).
[24] M. Piškorec, B. Sluban, T. Šmuc, MultiNets: Web-Based Multilayer Network Visualization, In Machine Learning and Knowledge Discovery in Databases, Springer International Publishing (2015).
[25] B. Renoust, G. Melancon, T. Munzner, Detangler: Visual Analytics for Multiplex Networks, In Computer Graphics Forum, 34(3), 321-330 (2015).
[26] S. S. Li, X. Lin, X. Liu and F. Y. Ye, H-crystal as a Core Structure in Multilayer Weighted Networks, American Journal of Information Science and Computer Engineering (2016) (in press).
[27] X. Lin, H. D. White, J. Buzydlowski, Real-time author co-citation mapping for online searching, International Journal of Information Processing & Management, 39(5), 689-706 (2003).
[28] K. Börner, S. Sanyal, A. Vespignani, Network science, Annual Review of Information Science and Technology, 41, 537-607 (2007).
[29] L. Leydesdorff, O. Persson, Mapping the geography of science: Distribution patterns and networks of relations among cities and institutes, Journal of the American Society for Information Science and Technology, 61(8), 1622–1634 (2010).
[30] X. Lin, J. Ahn, Challenges of knowledge structure visualization, Proceedings of the International UDC Seminar 2013, 73-87 (2013).
[31] R. Tamassia, Handbook of graph drawing and visualization, CRC press (2013).
[32] R. F. Cohen, P. Eades, T. Lin and F. Ruskey, Three-dimensional graph drawing, Algorithmica, 17(2), 199–208(1996).
[33] T. Calamoneri, A. Sterbini, 3D straight-line grid drawing of 4-colorable graphs, Information Processing Letter, 63(2), 97–102 (1997).
[34] J. Pach, T. Thiele, G. Toth, Three-dimensional grid drawings of graphs, Contemporary Mathematics, 223, 251-256 (1999).
[35] P. Bose, J. Czyzowicz, P. Morin and D. R. Wood, The maximum number of edges in a three-dimensional grid-drawing, Journal of Graph Algorithms and Applications, 8(1), 21–26 (2004).
[36] A. Pedretti, L. Villa, G. Vistoli, VEGA: a versatile program to convert, handle and visualize molecular structure on Windows-based PCs, Journal of Molecular Graphics and Modelling, 21, 47–49 (2002).
[37] S. J. Lee, H. Y. Chung, K. S. Kim, An Easy-to-Use Three-Dimensional Molecular Visualization and Analysis Program: POSMOL, Bulletin of Korean Chemical Society, 25(7), 1061-1064 (2004).
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