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Social Networking


Online Social Networks (OSNs) have become an important part of our everyday online lives. We communicate, share content, and organize meetings and events using OSN platforms. However, even though there is a strong trend towards OSN services to become the main communication medium, most OSN platforms are still proprietary, closed services that keep users from connecting directly and seamlessly to the services of other OSN platforms. SNET is working on novel architectures and mechanisms to
mitigate the lock-in effects of today’s OSN platforms and build new and innovative services. Research in this area addresses topics such as privacy and security, protocol design, distributed system architectures, and mobile services.


Beierle, F. and Tran, V.T. and Allemand, M. and Neff, P. and Schlee, W. and Probst, T. and Pryss, R. and Zimmermann, J. (2018). Context Data Categories and Privacy Model for Mobile Data Collection Apps. Procedia Computer Science, 18-25.

Javed, I. T. and Copeland, R. and Crespi, N. and Beierle, F. and Göndör, S. and Küpper, A. and Emmelmann, M. and Corici, A. and Corre, K. and Crom, J.-M. and Bouabdallah, A. and Zhang, T. and El Jaouhari, S. and Oberle, F. and Friese, I. and Caldeira, A. and Dias, G. and Santos, N. and Chaves, R. and Lopes Pereira, R. (2017). Cross-Domain Identity and Discovery Framework for Web Calling Services. Annals of Telecommunications. Springer Paris, 459-468.

Göndör, S. and Devendraraj, J. (2013). C2M: Open and Decentralized Cloud Contact Management. Procedia Computer Science, 2013 Intl. Conference on Computational Science. Elsevier, 2076-2085.

Beierle, F. and Tran, V.T. and Allemand, M. and Neff, P. and Schlee, W. and Probst, T. and Zimmermann, J. and Pryss, R. (2019). What data are smartphone users willing to share with researchers? Designing and evaluating a privacy model for mobile data collection apps. Journal of Ambient Intelligence and Humanized Computing. Springer.

Clemens, K. (2015). Qualitative Comparison of Geocoding Systems using OpenStreetMap Data. International Journal on Advances in Software, 377.

Beierle, F. and Probst, T. and Allemand, M. and Zimmermann, J. and Pryss, R. and Neff, P. and Schlee, W. and Stieger, S. and Budimir, S. (2020). Frequency and duration of daily smartphone usage in relation to personality traits. Digital Psychology. facultas.

Rodriguez Garzon, S. and Deva, B. (2019). Sensafety: Crowdsourcing the Urban Sense of Safety. Advances in Cartography and GIScience of the ICA. Copernicus Publications, 12.

Göndör, S. and Hebbo, H. (2014). SONIC: Towards seamless interaction in heterogeneous distributed OSN ecosystems. Proceedings of the IEEE 10th International Conference on Wireless and Mobile Computing, Networking and Communications, 407-412.

Beierle, F. and Grunert, K. and Göndör, S. and Küpper, A. (2016). Privacy-aware Social Music Playlist Generation. Proceedings of the IEEE International Conference on Communications (ICC 2016). IEEE, 5650-5656.

Beierle, F. and Göndör, S. and Küpper, A. (2015). Towards a Three-tiered Social Graph in Decentralized Online Social Networks. Proceedings of the 7th International Workshop on Hot Topics in Planet-scale Mobile Computing and Online Social Networking. ACM, 1–6.

Göndör, S. and Beierle, F. and Küçükbayraktar, E. and Hebbo, H. and Sherhan, S. and Küpper, A. (2015). Towards Migration of User Profiles in the SONIC Online Social Network Federation. International Multi-Conference on Computing in the Global Information Technology (ICCGI)

Friese, I. and Copeland, R. and Göndör, S. and Beierle, F. and Küpper, A. and Pereir, R. and Crom, J.-M. (2017). Cross-Domain Discovery of Communication Peers - Identity Mapping and Discovery Services (IMaDS). Proceedings of the 2017 European Conference on Networks and Communications (EuCNC). IEEE.

Beierle, F. and Grunert, K. and Göndör, S. and Schlüter, V. (2017). Towards Psychometrics-based Friend Recommendations in Social Networking Services. 2017 IEEE 6th International Conference on AI & Mobile Services (AIMS 2017). IEEE, 105–108.

Beierle, F. and Tran, V.T. and Allemand, M. and Neff, P. and Schlee, W. and Probst, T. and Pryss, R. and Zimmermann, J. (2018). TYDR - Track Your Daily Routine. Android App for Tracking Smartphone Sensor and Usage Data. 2018 ACM/IEEE 5th International Conference on Mobile Software Engineering and Systems (MOBILESoft '18). ACM, 72-75.

Kröger, J. L. and Raschke, P. and Bhuiyan, T. R. (2019). Privacy Implications of Accelerometer Data: A Review of Possible Inferences. Proceedings of the 3rd International Conference on Cryptography, Security and Privacy. ACM, 81–87.



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