Finding important research papers according to a topic in the midst of an exponential growth of scientific publications is a significant challenge for researchers. Digital science libraries interfaces offer inadequate...
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ISBN:
(纸本)9783031553110;9783031553127
Finding important research papers according to a topic in the midst of an exponential growth of scientific publications is a significant challenge for researchers. Digital science libraries interfaces offer inadequate support for effective navigation and exploration, and fail to assist researchers in accurately articulating their queries with their specific interests, by typically offering a massive list of results as visual output. This problem arises not only in terms of interface design, but also in the domains of user experience and information visualization. Collaboration is a key driver of science, and the collaborative behavior of sharing papers that is based on an individual curation process grounded on researchers' reading experience, can act as powerful social filtering system to find important papers. We present an exploratory visualization structure designed with the aim of mapping and supporting through a temporal perspective a curatorial behavior that already happens in social networks but without a visual communication logic. This article describes the design and implementation process of a temporal visualization structure in ***, and which combines a timeline, a node-link diagram, and a force-directed beeswarm algorithm. The findings present preliminary results and set the stage for further investigation into a "time travel" exploratory visualization. The article concludes with a reference to the visualization code, which can be accessed through the provided link.
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