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Speaker: Seok-Hee Hong, University of Sydney

Seminar Date: Tuesday October 18 2016, 12.00pm

Abstract: Recent technological advances have led to the production of a big data and complex networks in many domains. Examples include biological networks such as phylogenetic network, gene regulatory network, metabolic pathways and protein‐protein interaction networks. Other examples are social networks such as Facebook network, twitter network, linked‐in network, telephone call network, citation network and collaboration network.

Visualisation is an effective analysis tool for complex networks. Good visualisation reveals the hidden structure of the networks and amplifies human understanding, thus leading to new insights, new findings, new hypothesis and predictions. However, constructing good visualisation of big data is extremely challenging due to scalability and complexity.

This talk will present a framework for visual analytics of big data. Visual Analytics is the science of analytical reasoning facilitated by interactive visual interfaces. Our framework is based on the tight integration of analysis, visualisation and interaction methods. I will present a number of case studies using various networks derived from big data, in particular biological networks and social networks.

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