Multivariate networks are made up of nodes and their relationships (links), but also data
about those nodes and links as attributes. Most real‐world networks are associated with …

Networks are abstract and ubiquitous data structures, defined as a set of data points and
relationships between them. Network visualization provides meaningful representations of …

The considerable previous work characterizing visualization usage has focused on low-level
tasks or interactions and high-level tasks, leaving a gap between them that is not addressed …

Visualization misinformation is a prevalent problem, and combating it requires
understanding people's ability to read, interpret, and reason about erroneous or potentially …

We present a nested model for the visualization design and validation with four layers:
characterize the task and data in the vocabulary of the problem domain, abstract into …

Visualization is the process of representing data, information, and knowledge in a visual
form to support the tasks of exploration, confirmation, presentation, and understanding. This …

Knowledge about visualization tasks plays an important role in choosing or building suitable
visual representations to pursue them. Yet, tasks are a multi-faceted concept and it is thus …

It has been widely suggested that a key goal of visualization systems is to assist decision
making, but is this true? We conduct a critical investigation on whether the activity of …

Understanding a visualization is a multi-level process. A reader must extract and extrapolate
from numeric facts, understand how those facts apply to both the context of the data and …

Fuzzy clustering assigns a probability of membership for a datum to a cluster, which veritably
reflects real-world clustering scenarios but significantly increases the complexity of …