Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/35737
Title: Visualisation of Flows of Information
Authors: Kamolov, Ruslan 
Orientador: Machado, Fernando Jorge Penousal Martins
Keywords: Information visualization; Scientific visualization; Visualization of f lows; Visualization of wireless networks; User connectivity; User transitionality; Movement representation; Patterns of flow; Patterns of usage
Issue Date: 10-Sep-2013
Serial title, monograph or event: Visualisation of Flows of Information
Place of publication or event: Coimbra
Abstract: Flows are records of data related to movement of subjects or objects, which have a direction, an origin and a destination point. This dissertation focuses on the development of scientific visualization methods for representing flows and usage patterns on the wireless networks of four Portuguese universities. The research has a theoretical and a practical part. The theoretical part analyses and synthesizes the theory of information visualization, referencing distinct types of graphic layouts known from the early days to the present. The graphic semiology and the interaction principles for visualization are explained and illustrated with examples based on different topologies and approaches to visualization of flows. The practical part presents the developed techniques for visualizing flows within wireless networks, based on examples studied during this research. Four interactive visualizations displaying the patterns of flow and usage in wireless networks are constructed. The available data is presented with four different approaches, each one showing particular features of networks, such as connectivity, transitionality and flow, and focusing on specific aspects of the data.
Description: Dissertação de Mestrado em Design e Multimédia apresentada à Faculdade de Ciências e Tecnologia da Universidade de Coimbra
URI: http://hdl.handle.net/10316/35737
Rights: openAccess
Appears in Collections:UC - Dissertações de Mestrado
FCTUC Eng.Informática - Teses de Mestrado

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