Observing the relationship between two or more variables over space and time is essential in many domains. For instance, looking, for different countries, at evolution of both life expectancy birth fertility rate will give an overview their demographics. The choice visual representation such multivariate data key to enabling analysts extract patterns trends. Prior work has compared geo-temporal visualization techniques a single thematic variable that evolves time, specific point time. But...

Qualitative coding offers the potential to obtain deep insights into social media, but technique can be inconsistent and hard scale. Researchers using qualitative impose structure on unstructured data through "codes" that represent categories for analysis. Our visual analytics interface, Aeonium, supports human insight in collaborative overviews of codes assigned by multiple researchers distributions important keywords codes. The underlying machine learning model highlights ambiguity...

Nowadays, social media services are being used extensively as news sources and for spreading information on real-world events. Several studies have focused detecting those events locating them geographically. However, in order to study events, example, finding relationships between locations or high impact based their coverage, we need more suitable models represent In this work propose a simple model using two of information: the that mentioned event (where occurs), users discuss comment...

Recent literature reports a fair amount of initiatives on how to engage younger populations in achieving computational literacy. However, there is considerable less research effectively deliver software development skills way that can be accepted and ultimately adopted by this user group. As bridge gap, we ran an extracurricular project-based workshop, targeting 10-12 years old learners with no prior coding experience, delivered over five days the computer labs at University Chile. In...

The immense growth of the social Web, which has made a large amount user data easily and publicly available, opened whole new spectrum for research in behavioral sciences. However, as volume media content increases at very fast rate, it becomes extremely difficult to systematically obtain high-level information from this data. As consequence, tasks related analysis historical news events based on have not been explored, limits any type comparative research, causality analysis, discovery...

Geographical propagation phenomena occur in multiple domains, such as epidemiology and social media. Propagation dynamics are often complex, visualizations play a key role helping subject-matter experts understand analyze them. However, there is little empirical data about the effectiveness of various strategies used to visualize geographical propagation. To fill this gap, we conduct an experiment evaluate three strategies: animated map, small-multiple maps, single map with glyphs. We...

We present the design and evaluation of HyperStorylines, a technique that generalizes Storylines to visualize evolution relationships involving multiple types entities such as, for example, people, locations, companies. Datasets which describe multi-entity are often modeled as hypergraphs, can be difficult visualize, especially when these evolve over time. HyperStorylines builds upon Storylines, enabling aggregation nesting dynamic, relationships. report on process was informed by...

Storyline visualizations are a powerful way to compactly visualize how the relationships between people evolve over time. Real-world often also involve space, for example cities that two political rivals visited together or alone years. By default, only show implicitly geospatial co-occurrence (drawn as lines), by bringing their lines together. Even few designs do explicitly geographic locations so in abstract ways ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML"...

Online Social Networks (OSN) have changed the way information is produced and consumed. Organizing retrieving unstructured data extracted from these platforms not an easy task. Galean a visual interactive tool that aims to help journalists historians, among others, analyze news events discussed on Twitter. In this tool, are visually represented by very countries where originated, date when they happened their impact in OSN. considers as entities, opposed mere geographical locations most of...

The rising availability of digital traces provides a fertile ground for data-driven solutions to problems in cities. However, even though massive data set analyzed with science methods may provide powerful and cost-effective solution problem, its adoption by relevant stakeholders is not guaranteed due barriers such as lack interpretability interoperability. In this context, paper proposes methodology toward bridging two disciplines, transportation, identify, understand, solve transportation...

The rising availability of digital traces provides a fertile ground for new solutions to both, and old problems in cities. Even though massive data set analyzed with Data Science methods may provide powerful solution problem, its adoption by relevant stakeholders is not guaranteed, due blockers such as lack interpretability transparency. In this context, paper proposes preliminary methodology toward bridging two disciplines, Transportation, solve urban that are suitable adoption. defined...

The rising availability of digital traces provides a fertile ground for new solutions to both, and old problems in cities. Even though massive data set analyzed with Data Science methods may provide powerful solution problem, its adoption by relevant stakeholders is not guaranteed, due blockers such as lack interpretability transparency. In this context, paper proposes preliminary methodology toward bridging two disciplines, Transportation, solve urban that are suitable adoption. defined...