Wie erkennt Shazam ein Lied so schnell?
- A. Wang, The Shazam music recognition service, Communications of the ACM 49(8) (2006), 44-48.
- M.A. Casey, R. Veltkamp, M. Goto, M. Leman, C. Rhodes, M. Slaney, Content-based music information retrieval: Current directions and future challenges, Proceedings of the IEEE, 96(4) (2008), 668-696.
- M. Kaminskas, F. Ricci, Contextual music information retrieval and recommendation: State of the art and challenges, Computer Science Review, 6(2-3) (2012), 89-119.
- F. Zalkow, J. Brandner, M. Müller, Efficient Retrieval of Music Recordings Using Graph-Based Index Structures, Signals 2(2) (2021), 336-352.
- K. Noack (Matheretter), Wie funktioniert Shazam?
Wie fair ist der Gesangswettbewerb?
- L. Spierdijk, M. Vellekoop, The structure of bias in peer voting systems: lessons from the Eurovision Song Contest, Empirical Economics 36(2) (2009), 403-425.
- D. Fenn, O. Suleman, J. Efstathiou und N.F. Johnson, How does Europe make its mind up? Connections, cliques, and compatibility between countries in the Eurovision Song Contest, Physica A: Statistical Mechanics and its Applications 360 (2006), 576-598.
- G. Bello-Orgaz, H.D. Menéndez, D. Camacho, Adaptive k-means algorithm for overlapped graph clustering, International Journal of Neural Systems, 22(05) (2012), 1250018.
- G. Bello-Orgaz, D. Camacho, Evolutionary clustering algorithm for community detection using graph-based information, In: 2014 IEEE congress on evolutionary computation (CEC), 2014. pp. 930-937.
- Derek Gatherer, Birth of a Meme: the Origin and Evolution of Collusive Voting Patterns in the Eurovision Song Contest, Journal of Memetics - Evolutionary Models of Information Transmission, 8.
- D. Gatherer, Comparison of Eurovision Song Contest simulation with actual results reveals shifting patterns of collusive voting alliances, Journal of Artificial Societies and Social Simulation, 9(2) (2006).
- A. Dekker, The Eurovision Song Contest as a ‘friendship’network, Connections, 27(3) (2007), 53-58.
- D. García, D. Tanase, Measuring cultural dynamics through the Eurovision song contest, Advances in Complex Systems, 16(08) (2013), 1350037.
- T. Highfield, S. Harrington, A. Bruns, Twitter as a technology for audiencing and fandom: The #Eurovision phenomenon, Information, Communication & Society, 16(3) (2013), 315-339.
- R. Tobin (ed.), A song for Europe: Popular music and politics in the Eurovision Song Contest, Routledge, 2017.
- V. Ginsburgh, A.G. Noury, The Eurovision song contest. Is voting political or cultural?, European Journal of Political Economy, 24(1) (2008), 41-52.
- A.L. Barabâsi, H. Jeong, Z. Néda, E. Ravasz, A. Schubert, T. Vicsek, Evolution of the social network of scientific collaborations, Physica A: Statistical Mechanics and its Applications, 311(3-4) (2002), 590-614.
- C. Cotta, A.M. Mora, J.J. Merelo, C. Merelo-Molina, A network analysis of the 2010 FIFA world cup champion team play, Journal of Systems Science and Complexity, 26(1) (2013), 21-42.
- J.Heer, D. Boyd, vizster - visualizing online social networks, Berkeley, 2005.
- SocNetV: Social Network Analysis and Visualization Software.
- A. Bartel, M. Ehrhardt, ESC2010 Datenfile für SocNetV