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Network Science

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
  • Lietz, Haiko. 2020. "Drawing impossible boundaries: Field delineation of Social Network Science." Scientometrics 125 2841–2876. doi: https://doi.org/10.1007/s11192-020-03527-0.
  • Weller, Katrin. 2018. "International Conference on Web and Social Media (ICWSM 18)." Anzahl: 3.
  • Weller, Katrin. 2018. "International Conference on Computational Social Science (IC2S2)." Anzahl: 4.
  • Génois, Mathieu. 2018. "NetSci." Anzahl: 12.
  • Génois, Mathieu. 2018. "EPJ Data Science." Anzahl: 2.