1st European Conference on Social Networks - Barcelona (UAB) - July 1-4, 2014

Mixed Methods for Studying Network Dynamics

Claire Bidart (CNRS, France) & Michel Grossetti (CNRS, France)

The Call for Nominations is now open for self-nominations for two awards. The winners will be announced during the EUSN 2014 conference.

Visualización con Pajek (in Spanish)

Instructors: Alejandro Arnulfo Ruiz Leon (Universidad Nacional Autónoma de México, Mexico) & Nina Ines Jung (Universidad Nacional Autónoma de México, Mexico)

Los participantes en el taller podrán adquirir una visión amplia del uso y aplicación del concepto de red, así como los primeros pasos del análisis y visualización de redes sociales haciendo uso del programa Pajek.

visone workshop

  Part I -   General introduction

  Part II - Network Ensembles

Instructors: Jürgen Lerner (University of Konstanz, Germany) & Uwe Nagel (University of Konstanz, Germany)

Tulip -- where Social Network Analysis meets with Visual Analytics

Instructors: Bruno Pinaud (Université de Bordeaux, CNRS UMR 5800 LaBRI, France) & Guy Melançon(Université de Bordeaux, CNRS UMR 5800 LaBRI, France)

Visual Network Research: Using Net-Map and Vennmaker

Instructors: Markus Gamper (University of Cologne, Germany, Jennifer Hauck (Helmholtz Centre for Environmental Research - UFZ, Germany), Michael Schönhuth (University of Trier, Germany) & Martin Start (University of Hamburg, Germany)

EgoNet - Data Collection, Visualization and Analysis in Personal Networks Research

Instructors: Alejandro García-Macías (Universidad Autónoma de Aguascalientes, Mexico) & Judith Pampalona-Tarrés (Autonomous University of Barcelona, Spain)

Extracting Data from Online Social Networks

Instructors: Cristina Pérez-Solà (Autonomous University of Barcelona, Spain) & Jordi Herrera (Autonomous University of Barcelona, Spain)

Analysis of Large Two-mode Networks using Pajek

Instructor: Vladimir Batagelj (University of Ljubljana, Slovenia)

The data from data sources (data bases, web services, WWW) can be transformed into (often large) two-mode networks. For example: (people, movies, took part in creation of), (buyers/consumers, goods, quantity), (parliamentarians, problems, positive vote), (people, events, took part in), etc.

Analysis of Multiple Networks with algebra and `multiplex´

Instructor: Antonio Rivero Ostoic (Aarhus University, Denmark)

`multiplex´ (https://cran.r-project.org/web/packages/multiplex/) is a computer program written in R that is specially designed for the analysis of multiple networks with routines that combine algebraic structures like the partially ordered semigroup with the existing relational bundles found in multivariate structures.