Giter Site home page Giter Site logo

Alejandro Espinosa-Rada

My name is Alejandro Espinosa-Rada and I am a Postdoctoral Researcher at the Social Networks Lab in ETH Zürich. Before arriving in Zürich, I did my PhD in Sociology at the Mitchell Centre for Social Network Analysis at the University of Manchester. Also, I was an adjunct assistant professor in which I taught courses related to social network analysis at the Departments of Sociology (PUC and UAH), the Department of Computer Science (PUC), and the Department of History (USACH).

Main areas of interests: Group Dynamics, Sociology of Social Networks, Sociology of Science and Knowledge/Science of Science/Social Studies of Science and Technology, 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).

Other projects:

  • Co-PI at the Social Networks and Socio-ecological Sustainability Project (SNA-SES). Project funded by FONDECYT program N°1220560

Academic Tree:

Alejandro Espinosa-Rada's Projects

classicnets icon classicnets

The goal of classicnets is to make available, compile and conserve classic data of social networks.

ergm icon ergm

Fit, Simulate and Diagnose Exponential-Family Models for Networks

erpm icon erpm

Simulation and estimation of Exponential Random Partition Models

netdiffuser icon netdiffuser

netdiffuseR: Analysis of Diffusion and Contagion Processes on Networks

netmem icon netmem

'netmem: Network Measures using Matrices' is an R Package

rsiena icon rsiena

Simulation Investigation for Empirical Network Analysis in R

sna_notes icon sna_notes

Personal notes in R of my PhD for Social Network Science related projects

tnam icon tnam

Temporal Network Autocorrelation Models (TNAM)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.