A scalable node ordering strategy based on community structure for enhanced temporal network visualization

Visual Analysis of Contact Patterns in School Environments

“…Data sets analysis using Information Visualisation inserts the user in the exploration process through graphical and interactive computational approaches (Ware, 2012). By doing so, data understanding and consequently the identification of patterns, anomalies, trends and other behaviours is facilitated, resulting in faster and more reliable decisions (Linhares et al, 2019).…”

“…Visualisation techniques have been widely used in recent years to analyze data from various domains, e.g., in healthcare applications (Shneiderman et al, 2013), corporate environments (van den Elzen et al, 2013;Zhao et al, 2018) and social networks (Linhares et al, 2019). In educational context, Information Visualisation strategies can be used to identify patterns and behaviours involving students and teachers (Ruipérez-Valiente et al, 2015;Caligaris et al, 2015;McNeil, 2015), improving and optimizing the teaching and learning process (Vieira et al, 2018).…”

“…Several Information Visualisation strategies can be employed in the analysis of temporal networks, as, for example, space-time cubes (Bach, 2016), node-link diagrams (also known as structural layouts) (Linhares et al, 2019), circular approaches (v. d. Elzen et al, 2014), and Massive Sequence View (MSV) (Holten et al, 2007;van den Elzen et al, 2013). Among these, the MSV layout is the most appropriate when the task is to analyze the interaction distribution throughout time (Linhares et al, 2019). Fig.…”

Técnicas avançadas para análise visual de redes temporais

“…In [2] it is described as a study case using the Recurrent Neighbors ordering in a hospital context, detailed in Chapter 4 in the experimental results related to RN. The paper [3] proposes the CNO algorithm and the community taxonomy, with case studies for the Hospital and Twitter network, detailed in Chapter 4. The published book chapter [4] contains the visualization of dynamic processes, detailed in Chapter 5.…”

“…The software was developed using an open-source graph library called jgraphx 2 , that provides functionalities for graph visualization and interaction using Java. The Ąle format 3 required to open a network is three tab-separated columns, containing the two nodes and the timestamp, where each line represents an edge in a speciĄc timestamp.…”