  State-of-the-art visual analytics techniques in application domains are often
designed by VA professionals over qualitative requirement collected from end
users. These VA techniques may not leverage users' domain knowledge about how
to achieve their analytical goals. In this position paper, we propose a
user-driven design process of VA applications centered around a new concept
called analytical representation (AR). AR features a formal abstraction of user
requirement and their desired analytical trails for certain VA application, and
is independent of the actual visualization design. A conceptual graph schema is
introduced to define the AR abstraction, which can be created manually or
constructed by semi-automated tools. Designing VA applications with AR provides
a shared opportunity for both optimal analysis blueprint from the perspective
of end users and optimal visualization/algorithm from the perspective of VA
designers. We demonstrate the usage of the design process in two case studies.

Human-Computer Interaction;Social and Information Networks