Identifying communities of interest in social media

Microbiology as a case study

Conference paper (2019)

Authors

Wenceslao Arroyo-Machado University of Granada
Daniel Torres-Salinas University of Granada
N. Robinson Garcia Applied Probability - EEMCS
Research Group
Applied Probability (EEMCS) (TU Delft)
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Published Date

2019

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Delft Institute of Applied Mathematics

Research Group

Applied Probability

Abstract

As part of altmetrics, social media metrics focuses his attention in the quantitative analysis of mentions from social media to scientific literature. One of the approaches to analysing the interactions produced in social media is to identify discussion topics and the actors involved in it, missing more research focusing in the link between them. The main goal of this paper is to propose a methodology that make possible the detection of research topics and to whom can be of interest either within or outside the scientific realm. To do it we combine users’ networks and overlay mapping of topics to visualize and identify communities of attention, allowing to contextualize the mentions to scientific publications. The dataset used is formed by the union of publications in the field of Microbiology and the mentions received from news media, policy briefs and, mostly, twitter.