Elsevier published its vision of the scientific article of the future and provide some very interesting ideas for making interaction with scientific publications more fun.
Category Archives: Video
Here are some tools and libraries that can be used in our project.
TileMill is a free application for making maps and visualization of geospatial data.
Such visualization is possible to make with d3.js library. It can be used for visualization of bibliographic coupling for example.
Today I stumbled upon Cube, an Open Source system for visualizing time series data. The system is based on Node.js, MongoDB and D3.js. The developers of the “half-baked but still tasty” tool describe Cube as:
an open-source system for visualizing time series data, built on MongoDB, Node and D3. If you send Cube timestamped events (with optional structured data), you can easily build realtime visualizations of aggregate metrics for internal dashboards. Cube speaks WebSockets for low-latency, asynchronous input and output: new events are streamed in, and requested metrics are streamed out as they are computed. (You can also POST events to Cube, if that’s your thing, and collectd integration is included!) Metrics are cached in capped collections, and simple reductions such as sum and max use pyramidal aggregation to improve performance. Visualizations are generated client-side and assembled into dashboards with a few mouse clicks.
They also share a video on building an analytical dashboard in 60 seconds (the video is actually only 31 seconds long though), which shows the capabilities and speed of Cube.
I think it could be a strong candidate for future implementation in the project group. What do you think?
Gephi is a tool for people that have to explore and understand graphs. Like Photoshop but for data, the user interacts with the representation, manipulate the structures, shapes and colors to reveal hidden properties. The goal is to help data analysts to make hypothesis, intuitively discover patterns, isolate structure singularities or faults during data sourcing. It is a complementary tool to traditional statistics, as visual thinking with interactive interfaces is now recognized to facilitate reasoning. This is a software for Exploratory Data Analysis, a paradigm appeared in the Visual Analytics field of research.
The ThemeRiver™ visualization helps users identify time-related patterns, trends, and relationships across a large collection of documents. The themes in the collection are represented by a “river” that flows left to right through time. The river widens or narrows to depict changes in the collective strength of selected themes in the underlying documents. Individual themes are represented as colored “currents” flowing within the river. The theme currents narrow or widen to indicate changes in individual theme strength at any point in time.
An explanatory video:
- “ThemeRiver™*:: In Search of Trends, Patterns, and Relationships” and
- “ThemeRiver: Visualizing Theme Changes over Time”
are uploaded under pgpushpin’s documents at Mendeley.