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 will 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 will 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.
About the speakers
Mariano Beguerisse is a Senior Research Fellow at the Oxford-Emirates Data Science Lab, at the Mathematical Institute of the University of Oxford. His primary research interest the development if mathematical methods for the tractable representation of complex data systems. This work touches on network science, data science, complex systems, social science, and biology. In particular, Mariano is interested in directed networks, network inference, dynamics on/of networks, temporal networks, and going from meta-data to full-data descriptions. He also works on modelling biological systems, parameter inference and optimisation algorithms.