Abstract:
This paper proposed a new approach for collecting,
analyzing and visualizing co-authoring data of
individuals. This approach can be used for
understanding the academic collaboration and
knowledge domain of individual researchers in a past
period through repetitive co-published works.
Particularly we extracted the co-authoring data from the
DBLP which is one of the largest on-line Computer
Science bibliographic databases available on the
Internet. To help users to understand the academic
collaboration and knowledge domain of individuals, we
developed an InterRing visualizer which shows not only
the weight of co-authorship of an individual with other
researchers in particular academic year, but also the
knowledge domain of the individual that was covered by
his/her publications published in a past period.
