Abstract
The structure of a social network is time-dependent, as relationships between entities change in time. In large networks, static or animated visualizations are often insufficient to capture all the information about the interactions between people over time, which could be captured better by interactive interfaces. We propose a novel system for exploring the interactions of entities over time, and support it with an application that displays interactions of public figures at events.
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
Bastian, M., Heymann, S., Jacomy, M.: Gephi: An open source software for exploring and manipulating networks. In: ICWSM: International AAAI Conference on Weblogs and Social Media (2009)
Bezerianos, A., Dragicevic, P., Fekete, J.D., Bae, J., Watson, B.: Geneaquilts: A system for exploring large genealogies. IEEE Transactions on Visualization and Computer Graphics 16(6), 1073–1081 (2010)
Dörk, M., Riche, N.H., Ramos, G., Dumais, S.T.: Pivotpaths: Strolling through faceted information spaces. IEEE Trans. Vis. Comput. Graph 18(12), 2709–2718 (2012)
Havre, S., Hetzler, B., Nowell, L.: Themeriver: Visualizing theme changes over time. In: IEEE Symposium on Information Visualization, InfoVis 2000, pp. 115–123 (2000)
Holub, A., Moreels, P., Perona, P.: Unsupervised clustering for google searches of celebrity images. In: 8th IEEE International Conference on Automatic Face & Gesture Recognition, FG 2008, pp. 1–8 (2008)
Jansen, B.J.: Searching for Digital Images on the Web. Journal of Documentation 64(1), 81–101 (2008)
Kim, N.W., Card, S.K., Heer, J.: Tracing genealogical data with timenets. In: Proceedings of the International Conference on Advanced Visual Interfaces, pp. 241–248. ACM (2010)
Ogawa, M., Ma, K.L.: Software evolution storylines. In: Proceedings of the 5th International Symposium on Software Visualization, pp. 35–42. ACM (2010)
O’Hare, N., Aiello, L.M., Jaimes, A.: Predicting participants in public events using stock photos. In: ACM Multimedia (2012)
Plaisant, C., Milash, B., Rose, A., Widoff, S., Shneiderman, B.: Lifelines: visualizing personal histories. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems: Common Ground, pp. 221–227. ACM (1996)
Rosvall, M., Bergstrom, C.T.: Mapping Change in Large Networks. PLoS ONE 5(1), e8694+ (2010)
Shahaf, D., Guestrin, C., Horvitz, E.: Metro maps of science. In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1122–1130. ACM (2012)
Shahaf, D., Guestrin, C., Horvitz, E.: Trains of thought: Generating information maps. In: Proceedings of the 21st International Conference on World Wide Web, pp. 899–908. ACM (2012)
Yee, K.-P., Fisher, D., Dhamija, R., Hearst, M.: Animated exploration of dynamic graphs with radial layout. Presented at IEEE Symposium on Information Visualization (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer International Publishing Switzerland
About this paper
Cite this paper
Chiarandini, L., Aiello, L.M., O’Hare, N., Jaimes, A. (2013). Metro: Exploring Participation in Public Events. In: Jatowt, A., et al. Social Informatics. SocInfo 2013. Lecture Notes in Computer Science, vol 8238. Springer, Cham. https://doi.org/10.1007/978-3-319-03260-3_4
Download citation
DOI: https://doi.org/10.1007/978-3-319-03260-3_4
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03259-7
Online ISBN: 978-3-319-03260-3
eBook Packages: Computer ScienceComputer Science (R0)