| Full text | |
| Author(s): |
Linhares, Claudio D. G.
[1, 2]
;
Ponciano, Jean R.
[1]
;
Paiva, Jose Gustavo S.
[1]
;
Travencolo, Bruno A. N.
[1]
;
Rocha, Luis E. C.
[3, 4]
Total Authors: 5
|
| Affiliation: | [1] Univ Fed Uberlandia, Fac Comp, Uberlandia, MG - Brazil
[2] Univ Sao Paulo, Inst Math & Comp Sci, Sao Carlos - Brazil
[3] Univ Ghent, Dept Econ, Ghent - Belgium
[4] Univ Ghent, Dept Phys & Astron, Ghent - Belgium
Total Affiliations: 4
|
| Document type: | Journal article |
| Source: | JOURNAL OF VISUALIZATION; v. 24, n. 5, p. 1011-1031, OCT 2021. |
| Web of Science Citations: | 0 |
| Abstract | |
Temporal networks are widely used to map phenomena into complex systems in several research disciplines, such as computer science, business, and biology. Several layouts can be used in visual analyses of temporal networks. The identification of the most suitable for a given task is, however, not trivial. This paper presents a user study that analyzes the performance of four different layouts: Massive Sequence View (MSV), Temporal Activity Map, matrix animation, and structural animation, when applied to pattern detection tasks of time-evolving networks. Our results show that all four layouts are appropriate to perform the evaluated tasks; however, the structural animation and MSV scored higher across different types of users. (AU) | |
| FAPESP's process: | 16/17078-0 - Mining, indexing and visualizing Big Data in clinical decision support systems (MIVisBD) |
| Grantee: | Agma Juci Machado Traina |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 20/10049-0 - Complex networks and content-based image retrieval supported by selective visual attention features |
| Grantee: | Cláudio Douglas Gouveia Linhares |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |