Abstract
As the social network analysis has gradually been applied in many scientific fields, a tool for visualizing and analyzing large-scale networks is urgently needed. VisNetMiner is an integration tool for visualization and analysis of networks, which aims at integrating data preprocessing, modeling, analysis and visualization. This tool can analyze different kinds of data and builds a clear architecture for network analysis and visualization. Moreover, VisNetMiner has the following characteristics: 1) organizing the structural data with a uniform and flexible multi-dimensional data model; 2) providing comprehensive methods for network analysis and visualization; 3) assisting users manage the analytic processes with the workflow management. The experiments verify the effectiveness of VisNetMiner with an academic collaboration network.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Wang, X., Li, X., Chen, G.: The Theory and Application of Complex Network, pp. 1–17. Tsinghua University Press (2006)
Wang, B., Wu, W., Xu, C., Wu, B.: A Survey on Visualization of Complex Network. Computer Science 34(04) (2007)
Tang, J., Zhang, J., Yao, L., Li, J.: ArnetMiner: Extraction and Mining of Academic Social Networks. In: Proceeding of the 17th International Conference on World Wide Web, pp. 1193–1194 (2008)
Adamcsek, B., Palla, G., Farkas, I.J., Derényi, I., Vicsek, T.: CFinder: Locating Cliques and Overlapping Modules in Biological Networks. Bioinformatics 22(08), 1021–1023 (2006)
Bongshin, L., Mary, C., George, R., Bederson, B.B.: Understanding Research Trends in Conferences using PaperLens. In: CHI 2005 extended abstracts on Human factors in computing systems, pp. 1969–1972 (2005)
Chen, C.: 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)
Hyunmo, K., Lise, G., Lisa, S.: C-Group: A Visual Analytic Tool for Pairwise Analysis of Dynamic Group Membership. In: IEEE Symposium on Visual Analytics Science and Technology, pp. 211–212 (2007)
Pullen, J.M.: The Network Workbench: Network Simulation Software for Academic Investigation of Internet Concepts. The International Journal of Computer and Telecommunications Networking 32(03), 365–378 (2000)
Herr, B.W., Huang, W., Penumarthy, S., Borner, K.: Designing Highly Flexible and Usable Cyberinfrastructures for Convergence. Annals of the New York Academy of Sciences 1093(1), 161–179 (2006)
Prefuse | Interactive Information Visualization Toolkit, http://prefuse.org
JUNG - the Java Universal Network/Graph Framework, http://jung.sourceforge.net
Girvan, M., Newman, M.E.J.: Community structure in social and biological networks. PNAS 99(12), 7821–7826 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Shi, C., Zhou, D., Wu, B., Liu, J. (2009). VisNetMiner: An Integration Tool for Visualization and Analysis of Networks. In: Huang, R., Yang, Q., Pei, J., Gama, J., Meng, X., Li, X. (eds) Advanced Data Mining and Applications. ADMA 2009. Lecture Notes in Computer Science(), vol 5678. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03348-3_63
Download citation
DOI: https://doi.org/10.1007/978-3-642-03348-3_63
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03347-6
Online ISBN: 978-3-642-03348-3
eBook Packages: Computer ScienceComputer Science (R0)