KDViz 2015 - 7th International Symposium Knowledge Domain Visualization

Knowledge Domain Visualization (KDViz) aims to advance our understanding of the structure and dynamics of a knowledge domain and augment our ability to identify and analyze a knowledge domain in a wide variety of quantitative and qualitative methods. KDViz emphasizes the role of visual analytics, information visualization, exploratory data analysis, information retrieval, information science, and text mining and other enabling techniques.
Aims
International Symposium on KDViz aims to provide an inter-disciplinary forum for researchers and practitioners from a wide variety of disciplines to address theories, methodologies, techniques, applications, evaluations and case studies in relation to KDViz. The symposium also aims to promote the cross-disciplinary awareness between disciplines such as information visualization and information science. For the purpose of this symposium, a knowledge domain is broadly defined as a dynamic, evolving intellectual structure of a given subject matter. Knowledge domain visualization aims to reveal the dynamics of a knowledge domain by utilizing a wide variety of techniques involving visual thinking, visual discovery, visual exploration, and visual analysis.
Scope
This symposium series encourages interdisciplinary work concerning information integration across areas such as information visualization and information science.
The symposium will seek original papers concerning, but not limited to, the following topics:
Mapping scientific frontiers
Mapping science
Citation analysis, domain analysis and modeling
Historical, sociological, or philosophical studies of science
Knowledge discovery, knowledge representation, and knowledge diffusion
Invisible colleges, scientific networks, social networks
Qualitative and quantitative methodologies
Scientometrics
Dynamic models of scientific disciplines
Tools and databases in support of KDViz