Aaron is giving a seminar at the IDEAS Research Institute & School of Computing in Robert Gordon University, Aberdeen on the 11th of March at 14.00. This talk will focus on social network, their analysis, inference (of nodes, edges attributes) and their visualisation.
Title: Information Visualisation and Social Networks
Information visualisation is a research area that focuses on the use of graphical techniques to present data in an explicit form. Such static (pictures) or dynamic presentations help people formulate an understanding of data and an internal model of it for reasoning about. Such pictures of data are an external artifact supporting decision making. While sharing many of the same goals of Scientific Visualisation, Human Computer Interaction, User Interface Design and Computer Graphics, Information Visualisation focuses on the visual presentation of data (or information within a frame of reference) without a physical or geometric form. As such it relies on research in mathematics, data mining, data structures, algorithms, graph drawing, human-computer interaction, cognitive psychology, semiotics, cartography, interactive graphics, imaging and visual design
25
Feb 2011
In this talk I will present a brief history of social network analysis and visulisation, introduce layout algorithms we have developed for visualisation and provide a detailed case study on the layout of evolving social networks or “dynamic graphs” extracted through our process of “social network inference” from 10m records without explicit relations.