Mixed Methods for Studying Network Dynamics
Mixed Methods for Studying Network Dynamics
Claire Bidart (CNRS, France) & Michel Grossetti (CNRS, France)
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.