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Wikipedia is a great source for data analysis due to its outstanding scale and the graph structure. Tens of millions of visitors surf it daily, leaving their footprint on the Web. The combination of the Wikipedia graph structure and visitor activity on the pages gives us the dynamic graph – the graph with time-series signals on the nodes. The dynamic nature of the graph makes the large-scale analysis problem complicated.
In the original paper we analyze the Wikipedia graph. The aim is to detect events and collective memories using the activity of the Wikipedia visitors. We use graph-based approach to build our model. The computational model is inspired by the synaptic plasticity and Hebbian theory.
Via Miloš Bajčetić
