On Visualization of Journals Reference Network Based on Force-Directed Layout Algorithms

Article Preview

Abstract:

Visualization of a journal network is to show the topology of journals reference in a graphic way so as to observe their interaction and importance. A reference network was drawn from the force-directed algorithm, and then compared to the degree centrality and betweenness centrality of the network, and analyzed with their compound influencing factor and core index by Pearson correlation coefficients at last. The results show that the force-directed layout algorithm can effectively reflect the referential status and relations of the library and information (LI) journals, and the importance of a journal can be determined from the layout in a visual and direct way.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 605-607)

Pages:

2370-2374

Citation:

Online since:

December 2012

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] DENG San-hong, GU Ting-ting. A Visual ACA Analysis of Core Journals in the Field of LIS. Information Science Vol. 28 (2010), p.1728.

Google Scholar

[2] Li Guojun Xiao Ming. The Implementation of Visualization System of Chinese Library Classification Based on SAX Parsing Technique. Journal of Academic Libraries Vol. 5 (2010), p.31.

Google Scholar

[3] Genc B, Dogrus Z U: A Constrained, Force-Directed Layout Algorithm for Biological Pathways. Graph Drawing (2003).

Google Scholar

[4] Information on. http://www.cs.brown.edu/~rt/ gdhandbook/chapters/force- directed.pdf.

Google Scholar

[5] ZHAO Rong-ying, MA Li-n. Visualization Analysis about Research Core Journals and Hotspots of Informatics. Information Science Vol. 29 (2011), p.1238.

Google Scholar

[6] Milo R, Shen O S, Itzkovitz S, et al. Network motifs: simple building blocks of complex networks. Science Vol. 298 (2002), p.824.

DOI: 10.1126/science.298.5594.824

Google Scholar

[7] Boccaletti S, Latora V, Moreno Y, et al. Complex Networks: Structure and Dynamics. Physics Reports Vol. 424 (2006), p.175.

DOI: 10.1016/j.physrep.2005.10.009

Google Scholar

[8] CHEN Cai-kou, PENG Qian-qian, et al. Improved Canonical Correlation Analysis Method and Its Application. Journal of System Simulation Vol.22 (2010), p.388.

Google Scholar