Network science aims to develop methods and tools for the collection, processing and analysis of relational data (e.g. from social media or sensor data) which can be modelled as a network. Network models facilitate to explain and predict the dynamics of social systems.
Our main research areas in the field of network science are:
- Measuring face-to-face interactions via RFID sensors in various environments (e.g. academic conferences) and combining these data with survey data on behavior and personality traits
- Networks of interactions between users of online platforms (such as Wikipedia, Reddit, Twitter), statistical modelling of patterns of online interactions (regarding information behavior, cooperation, conflict etc.)
- Generative network models which aim to explain and predict the behavior of subpopulations, e.g. collaborations between female and male researchers
- Cultural networks that link geographical regions through shared online preferences
- Bosch, Thomas, and Matthäus Zloch. 2012. "Introduction to the next generation of the microdata information system (MISSY)." Bergen.
- Bosch, Thomas, and Matthäus Zloch. 2012. "Create your own information systems on the basis of DDI-Lifecycle." 4th European DDI User Conference (EDDI 2012), Bergen. http://de.slideshare.net/boschthomas/201212-eddi-2012-workshop.
- Springer, Jörn, and Maria Zens. 2012. Aktuelle Forschungen zum ländlichen Raum. Recherche Spezial 2012/02. Köln: GESIS. http://www.gesis.org/sowiport/fileadmin/user_upload/pdf_recherche_spezial/rs_12_02_laendlicher_raum_rural_areas.pdf.
- Wegener, Dennis, Matthäus Zloch, and Thomas Bosch. 2012. "DDI & Model-View-Controller: an architectural perspective." Wadern.
- Janßen, Philip Jost, Sandra Schulz, and Maria Zens. 2012. Ressourcen-Konflikte: Literatur und Forschung aus sozialwissenschaftlicher Perspektive. Recherche Spezial 2012/05. Köln: GESIS. http://www.gesis.org/sowiport/themen/recherche-spezial/ressourcen-konflikte.html.