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Uploaded on Feb 14, 2011
The discovery of a network is a fundamental problem arising in numerous fields of science and engineering. Much of the interest has roots in the notion of a social network which focuses on the relationship between social entities. A network inferred from a set of signals is normally of the following form: each signal is assigned a node (e.g. individuals, genes, neurons) and a link between any pair of nodes indicates a possibly causal relationship (e.g. communication, influence, friendship) between the corresponding pair of signals. The resulting network analysis is important for detecting anomalies, predicting susceptibilities, and assessing the impact of external stimuli to the socially interacting elements.
"GlobalView" is a software tool (currently under-development) that monitors heterogeneous time series data and recovers the unobserved network topologies from nodal observations.
In this video we demonstrate how Google Trends dataset can be loaded into the software.
This work is funded by the UK Engineering and Physical Sciences Research Council grant, EP/I005986/1.