My name is Alejandro Espinosa-Rada, and I am a Postdoctoral Researcher and Lecturer at the Social Networks Lab at ETH Zurich. Before arriving in Zurich, I did my PhD in Sociology at the Mitchell Centre for Social Network Analysis at the University of Manchester.
Main areas of interest: Group Dynamics, Sociology of Social Networks, Sociology of Science and Knowledge, and Network Modelling.
You can also check Knitting Networks, the podcast of the Social Network Science (chapters in Spanish or English) hosted by Francisca Ortiz and myself. The podcast is sponsored by the International Network for Social Network Analysis (INSNA).
Research Projects
Group Dynamics
The groups dynamics project aims to understand the (co-)evolution of social networks and/or individual changes when small groups are considered.
Social Network Lab, ETH Zurich (2021-).
SNA-SES
Co-PI at the Social Networks and Socio-ecological Sustainability Project (SNA-SES).
Project funded by FONDECYT program N°1220560 (2022-2024).
AstroNET
PI of a study to analyse the Chilean astronomical and astrophysics community.
Project funded by
CONICYT PFCHA/DOCTORADO BECAS CHILE/2017-72180242 (2017-2021).
PCHA/Magíster Nacional/2013-50280 (2013-2014).
Edited Volumes (In Spanish)
Co-editor of the Book:
Title (EN): "Technopolitics: Approaches to the Study of Science, Technology and Society in Chile"
Título (ES): “Tecnopolíticas. Aproximaciones a los estudios de ciencia, tecnología y sociedad en Chile”
Co-editor of the Handobook:
Title (EN): "Social Networks. Theory, Methods and Applications in Latin America"
Título (ES): “Redes Sociales. Teoría, Métodos y Aplicaciones en América Latina”
R Projects
NETMEM
An R package that implements different measures to analyse and manipulate complex multilayer networks from an ego-centric perspective, considering one-mode networks, valued ties (i.e. weighted or multiplex) or with multiple levels.
CLASSICNETS
The goal of classicnets is to make available, compile and conserve classic data of social networks. We follow the history of this perspective based on Linton Freeman, John Scott and reviews from Ibero-America. The data are in the classic matrix format.
Areas of Interest and Other Academic Projects
Sociology of Scientific Networks for the Science of Science
Statistical Models for Social Networks
Academic tree:
