Have a personal or library account? Click to login
Parallel Arc Diagrams: Visualizing Temporal Interactions Cover

Parallel Arc Diagrams: Visualizing Temporal Interactions

By: Peter Hoek  
Open Access
|Jan 2020

References

  1. Alexander, M. (2005). Using the Bipartite Line Graph to Visualize 2-Mode Social Networks. North American Association for Computational Social and Organizational Science (NAACSOS). Indiana: Notre Dame.
  2. Alexandre, D. S. and J. M. R. S. Tavares (2010). Introduction of Human Perception in Visualization. FEUP - Artigo em Revista Internacional.
  3. Battista, G. D., P. Eades et al. (1998). Graph Drawing: Algorithms for the Visualization of Graphs. Prentice Hall.
  4. Bender-deMoll, S. and D. A. McFarland (2006). “The Art and Science of Dynamic Network Visualization.” Journal of Social Structure 7 (2). Available: http://www.cmu.edu/joss/content/articles/volume7/deMollMcFarland/ [December 2011].
  5. Borgatti, S. P., M. G. Everett et al. (2002). UCINET 6 for Windows: Software for Social Network Analysis. Harvard Analytic Technologies.
  6. Brandes, U., J. Raab et al. (2001). “Exploratory Network Visualization: Simultaneous Display of Actor Status and Connections.” Journal of Social Structure 2 (4). Available: http://www.cmu.edu/joss/content/articles/volume2/BrandesRaabWagner.html [December 2011].
  7. Cole, H. R. and J. H. Haag (1988). The Complete Guide to Standard Script Formats: The Screenplay. California: CMC Publishing.
  8. Cui, W. (2007). A Survey on Graph Visualization. PhD Qualifying Exam (PQE) Report. Hong Kong, Computer Science Department, Hong Kong University of Science and Technology.
  9. Davis, A., B. Gardner et al. (1941). Deep South, Chicago University Press.
  10. Donath, J., K. Karahalios et al. (1999). Visualizing Conversation. Thirty-Second Annual Hawaii International Conference on Systems Sciences, Maui, Hawaii, IEEE.10.1109/HICSS.1999.772675
  11. Dwyer, T., B. Lee et al. (2009). “A Comparison of User-Generated and Automatic Graph Layouts.” IEEE Transactions on Visualization and Computer Graphics 15 (6).10.1109/TVCG.2009.109
  12. Freeman, L. C. (2000). “Visualizing Social Networks.” Journal of Social Structure 1 (1). Available: http://www.cmu.edu/joss/content/articles/volume1/Freeman.html [December 2011].
  13. Garey, M. R. and D. S. Johnson (1983). “Crossing Number is NP-Complete.” SIAM Journal on Algebraic and Discrete Methods 4: 312-216.
  14. Ghoniem, M., J. D. Fekete et al. (2005). “On the Readability of Graphs Using Node-link and Matrix-based Representations: A Controlled Experiment and Statistical Analysis.” Information Visualization 4 (2): 114-135.10.1057/palgrave.ivs.9500092
  15. Gloor, P. and Y. Yhao (2004). TeCFlow: A Temporal Communication Flow Visualizer for Social Networks Analysis. ACM CSCW Workshop on Social Networks, Chicago.
  16. Gloor, P. A., R. Laubacher et al. (2004). Temporal Visualization and Analysis of Social Networks. North American Association for Computational Social and Organizational Science (NAACSOS).
  17. Gloor, P. A., S. Niepel et al. (2006). Identifying Potential Suspects by Temporal Link Analysis, MIT CCS.
  18. Goud, R. (2006). “Visualization of File Relations in Software Systems with Adjacency Matrices.” Department of Mathematics and Computer Science. Eindhoven, Technische Universiteit Eindhoven. Master’s Thesis.
  19. Harris, C., R. B. Allen et al. (1999). Temporal Visualization for Legal Case Histories, HCIL Technical Report No. 99-18, Computer Science Department, University of Maryland.
  20. Healey, C. G., K. S. Booth et al. (1995). “Visualizing Real-Time Multivariate Data Using Preattentive Processing.” ACM Transactions on Modeling and Computer Simulation 5 (3): 190221.
  21. Heer, J. M. (2004). “Prefuse: A Software Framework for Interactive Information Visualization.” Department of Electrical Engineering and Computer Sciences. Berkeley, University of California. Master of Science.
  22. Henry, N. (2008). Exploring Social Networks with Matrix-based Representations. Sydney, University of Sydney. PhD.
  23. Huang, W., S.-H. Hong et al. (2006). How People Read Sociograms: A Questionnaire Study. Asia-Pacific Symposium on Information Visualization (APVIS 2006), Tokyo, Australian Computer Society.
  24. Huang, W., S.-H. Hong et al. (2007). “Effects of Sociogram Drawing Conventions and Edge Crossings in Social Network Visualization.” Journal of Graph Algorithms and Applications 11 (2): 397-429.10.7155/jgaa.00152
  25. Kadaba, N. R., P. P. Irani et al. (2007). “Visualizing Causal Semantics Using Animations.” IEEE Transactions on Visualization and Computer Graphics.10.1109/TVCG.2007.70528
  26. Kang, H., C. Plaisant et al. (2007). “NetLens: Iterative Exploration of Content-actor Network Data.” Information Visualization 6: 18-31.
  27. Karahalios, K. G. and F. B. Viégas (2006). Social Visualization: Exploring Text, Audio, and Video Interaction. Conference on Human Factors in Computing Systems, CHI ‘06, Quebec, Canada.10.1145/1125451.1125758
  28. Keller, R., C. M. Eckert et al. (2006). “Matrices or Node-link Diagrams: Which Visual Representation is Better for Visualizing Connectivity Models?” Information Visualization 5: 6276.10.1057/palgrave.ivs.9500116
  29. Lee, B. (2006). “Interactive Visualization for Trees and Graphs.” University of Maryland. PhD.
  30. McGrath, C., J. Blythe et al. (1997). “The Effect of Spatial Arrangement of Judgments and Errors in Interpreting Graphs.” Social Networks 19 (3): 223-242.10.1016/S0378-8733(96)00299-7
  31. Moody, J., D. McFarland et al. (2005). “Dynamic Network Visualization.” American Journal of Sociology 10 (4).10.1086/421509
  32. Moreno, J. L. (1953). Who Shall Survive: Foundations of Sociometry, Group Psychotherapy, and Sociodrama. Washington: Beacon House.
  33. Munzner, T. (2000). “Interactive Visualization of Large Graphs and Networks.” Department of Computer Science, Stanford University. PhD.
  34. Mutton, P. (2004). Inferring and Visualizing Social Netoworks on Internet Relay Chat. Eighth International Conference on Information Visualisation (IV’04), IEEE.
  35. O’Madadhain, J., D. Fisher et al. (2010).”JUNG (Java Universal Network/Graph Framework).”
  36. Plaisant, C. (2004). The Challenge of Information Visualization Evaluation. Working conference on Advanced Visual Interfaces (AVI 2004), Gallipoli, Italy. New York: ACM Press.
  37. Plaisant, C., B. Milash et al. (1996). Lifelines: Visualizing Personal Histories. Conference on Human Factors in Computing Systems: Common Ground, SIGCHI, Vancouver, British Columbia.
  38. Shneiderman, B. (1996). “The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations.” IEEE Symposium on Visual Languages 1: 336.
  39. Tat, A. and S. Carpendale (2006). CrystalChat: Visualizing Personal Chat History. 39th Hawaii International Conference on System Sciences.10.1109/HICSS.2006.107
  40. Tversky, B., J. G. Morrison et al. (2002). “Animation: Can It Facilitate?” International Journal of Human-Computer Studies.10.1006/ijhc.2002.1017
  41. Viégas, F. B. and J. Donath (2004). “Social Network Visualization: Can We Go Beyond the Graph?” Workshop on Social Networks, CSCW4: 6-10.
  42. Ware, C. (2000). The Visual Representation of Information Structures. 8th International Symposium on Graph Drawing.
  43. Weng, C.-Y., W.-T. Chu et al. (2007). Movie Analysis Based on Roles’ Social Network. IEEE International Conference on Multimedia and Expo, Beijing.10.1109/ICME.2007.4284922
  44. Winn, W. (1994). “Contributions of Perceptual and Cognitive Processes to the Comprehension of Graphics.” Comprehension of Graphics (3): 27.
DOI: https://doi.org/10.21307/joss-2019-036 | Journal eISSN: 1529-1227 | Journal ISSN: 2300-0422
Language: English
Page range: 1 - 25
Published on: Jan 13, 2020
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2020 Peter Hoek, published by International Network for Social Network Analysis (INSNA)
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.