9^th International Symposium Knowledge Domain Visualization (KDViz)
	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 Submission procedures: http://www.graphicslink.co.uk/IV10/PAPERS.htm Further information: http://www.graphicslink.co.uk/IV10/
www.graphicslink.co.uk/IV10/KDViz.htm
All symposium enquiries should be addressed to Dr Chaomei Chen, Dr Katy Börner or Dr Jasna Kuljis		All other enquiries and submissions should be addressed to:
Dr Chaomei Chen College of Information Science and Technology Drexel University Philadelphia, PA 19104-2875, USA Tel: +1 215-895-6627 Fax: +1 215-895-2494 Email: Chaomei.Chen@cis.drexel.edu Dr Katy Börner School of Library and Information Science & School of Informatics Indiana University, 10th Street & Jordan Avenue, Bloomington, IN 47405, USA Phone: +1 812 855-3256, Fax: +1 812 855-6166 E-mail: katy@indiana.edu Dr Jasna Kuljis School of Information Systems, Computing and Mathematics Brunel University Uxbridge, Middlesex UB8 3PH United Kingdom Tel: +44 (0)1895 266 015 Fax: +44 (0)1895 251 686 Email: Jasna.Kuljis@brunel.ac.uk		Conference Co-ordinator
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