Alessandra Marli

• Federal University of São Paulo

Real-world networks show community structures – groups of nodes that are densely intra-connected and sparsely inter-connected to other groups. Nevertheless, Community Detection (CD) is non-trivial, since identifying these groups of nodes according to their local connectivity can hold many plausible solutions, leading to the creation of different me...

Force-directed algorithms are a class of methods widely used to solve problems modeled via physics laws and resolved by particle simulation. Visualization of general graphs is one of the research fields which uses such algorithms and provides a vast knowledge about their benefits and challenges. Taking advantage of the knowledge provided by graph v...

The study and comprehension of complex systems are crucial intellectual and scientific challenges of the 21st century. In this scenario, network science has emerged as a mathematical tool to support the study of such systems. Examples include environmental processes such as wildfires, which are known for their considerable impact on human life. How...

The study and comprehension of complex systems are crucial intellectual and scientific challenges of the 21st century. In this scenario, network science has emerged as a mathematical tool to support the study of such systems. Examples include environmental processes such as the wildfires, which are known for their considerable impact on human life....

Citizen science projects are those which recruit volunteers to participate as assistants in scientific studies. Since these projects depend on volunteer efforts, understanding the motivation that drives a volunteer to collaborate is important to ensure its success. One way to understand motivation is by interviewing the volunteers. While this appro...

Web-based citizen science projects collect logs of interactions between volunteers and project websites. In this article, the authors present visualization techniques that can be used to infer volunteer behavior in such projects, using the Galaxy Zoo astronomy citizen science project as a test case. This information could be used to shed light on w...

The Brazilian National Institute for Space Research (INPE) has a significant amount on a wide range of data about weather and climate, collected from sensors or calculated by numerical models. The current approach to disseminate information extracted from the sensors or models present limitations that could be solved by developing a Virtual Observa...

Data Visualization is an important tool for tasks related to Knowledge Discovery in Databases (KDD). Often the data to be visualized is complex, have multiple dimensions or features and consists of many individual data points, making visualization with traditional icon- and pixel-based and geometric techniques difficult. In this paper we propose a...

Citizen science projects are those in which volunteers are asked to collaborate in scientific projects, usually by volunteering idle computer time for distributed data processing efforts or by actively labeling or classifying information - shapes of galaxies, whale sounds, historical records are all examples of citizen science projects in which use...

Recent technological advances allowed the creation and use of internet-based systems where many users can collaborate gathering and sharing information for specific or general purposes: social networks, e-commerce review systems, collaborative knowledge systems, etc. Since most of the data collected in these systems is user-generated, understanding...