Abstract
Bigdata analysis is a hot topic in all fields of science. Particularly in scientific fields investigating data relations, observation and analysis of relation among diverse data sets has begun to play a role of great importance. A graph is a representative expression for the purpose and many graph viewers and tools prevail today. However, most of these graph viewers do not offer the capability for displaying graphs on a multi-monitor visualization environment, even though multi-monitor visualization environment facilitates scientists in understanding data in a more detailed and intuitive manner. In this paper, our first exploration towards a high resolution graph viewer for a multi-monitor visualization environment is explored and reported.
Similar content being viewed by others
References
Heer J., Shneiderman B.: A taxonomy of tools that support the fluent and flexible use of visualization. ACM Queue. 10(2), 1–26 (2012)
Eisenberg, D., Marcotte, E. M., Xenarios, I., Yeates, T. O.: Protein function in the postgenomic era. Nature. 405, 823-826, 2000
Jeong, H., Tombor, B., Albert, R., Oltvai, Z. N., Barabási, A. L.: The large-scale organization of metabolic networks. Nature. 407, 651-654, 2000
Scott, J.: Social Network Analysis, 3rd ed. Sage, 2013
Kou, T., Takao, M.: Clustering web documents based on correlation of hyperlinks. The Proceedings of IEEE 29th International Conference on Data Engineering Workshops (ICDEW). 1225, 2013
Jeong, B., Renambot, L., Jagodic, R., Singh, R., Aguilera, J., Johnson, A., Leigh, J.: Highperformance dynamic graphics streaming for scalable adaptive graphics environment. The Proceedings of the 4th Workshop on Advanced Collaborative Environments. 2004
Renambot, L., Rao, A., Singh, R.: SAGE: the scalable adaptive graphics environment. The Proceedings of the 4th Workshop on Advanced Collaborative Environments. 2004
Doerr K.U., Kuester F.: CGLX: a scalable, high-performance visualization framework for networked display environments. IEEE Transactions on Visualization and Computer Graphics. 17(3), 320–332 (2011)
Ruprecht, A., Eisinger, R., Göde, E., Rainer, D.: Virtual numerical test bed for intuitive design of hydro turbine components. The Proceedings of the Hydropower into the Next Century. 1999
Humphreys G., Houston M., Ng R., Frank R., Ahern S., Kirchner P.D., Klosowski J.T.: Chromium: a stream-processing framework for interactive rendering on clusters. ACM Transactions on Graphics. 21(3), 693–702 (2002)
Itoh Y., Matsuo T., Ohyoshi Y., Tanimae T.: Development of “EasyVR” & “Fusion” which enable virtual reality based on 3D-graphics API intercept technology. The Journal of the Visualization Society of Japan. 27(106), 45–47 (2007)
Bastian, M., Heyman, S., Jacomy, M.: Gephi: an open source software for exploring and manipulating networks. The Proceedings of the 3rd International AAAI Conference on Weblogs and Social Media (ICWSM09). 361-362, 2009
Gephi - The Open Graph Viz Platform, http://gephi.github.io/
Cybermedia Center, Osaka university, http://www.hpc.cmc.osaka-u.ac.jp/15vis/
Datasets gephi/gephi Wiki GitHub, https://github.com/gephi/gephi/wiki/Datasets
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Jingai, R., Kido, Y., Date, S. et al. Research Note: A High Resolution Graph Viewer for Multi-monitor Visualization Environment. Rev Socionetwork Strat 9, 19–27 (2015). https://doi.org/10.1007/s12626-015-0052-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12626-015-0052-5