The abundance of data from social media outlets such as Twitter provides the opportunity to perform research at a societal level at a scale unforeseen. This has spurred the development of mathematical and computational methods such as network science, which uses the formalism and language of graph theory to study large systems of interacting agents. In this talk, I provide a sketch of network science and its application to study online social media. A number of different networks can be constructed from Twitter data, which can be used to ask questions about its users, ranging from the structural (an ‘x-ray’ to see how societies are connected online) to the topical (‘stethoscope’ to feel how users interact in the context of specific event). I provide concrete examples from the UK riots of 2011, applications to medical anthropology, and political referenda, and will also highlight distinct challenges such as the directionality of connections, the size of the network, the use of temporal information and text, all of which are active areas of research.
Senior Research Fellow, Oxford-Emirates Data Science Lab, Mathematical Institute, University of Oxford
