A Resource Efficient Big Data Analysis Method for the Social Sciences: The Case of Global IP Activity
Procedia Computer Science2014Vol. 29, pp. 2360–2369
Citations Over TimeTop 12% of 2014 papers
Abstract
This paper presents a novel and efficient way of analysing big datasets used in social science research. We provide and demonstrate a way to deal with such datasets without the need for high performance distributed computational facilities. Using an Internet census dataset and with the help of freely available tools and programming libraries, we visualize global IP activity in a spatial and time dimension. We observe a considerable reduction in storage size of our dataset coupled with a faster processing time.