Bemerkung zur schriftlichen Ausarbeitung:

Literatur (ee = Link zur electronischen Fassung):

Einführung
0. Einführung in Soziale Netzwerke
   1. [ee] D. Jensen, J. Neville (2002): Data Mining in Social Networks National Academy of Sciences Symposium on Dynamic Social Network Analysis.
   2. [ee] J. Kleinberg, R. Kumar, P. Raghavan, S. Rajagopalan, A. Tomkins (1999): The web as a graph: measurements, models, and methods Proceedings of the International Conference on Combinatorics and Computing.
1. Item Recommendation
   1. [ee] B. Sarwar, G. Karypis, J. Konstan, J. Riedl (2001): Item-based collaborative filtering recommendation algorithms Proceedings of WWW 2001.
2. Tag Recommendation
   1. [ee] P. Symeonidis, M. Ruxanda, A. Nanopoulos, Y. Manolopoulos (2008): Ternary semantic analysis of social tags for personalized music reocmmendation Proceedings 9th International Symposium on Music Information Retrieval (ISMIR'2008.
   2. [ee] R. Jaeschke, L. Marinho, A. Hotho, L. Schmidt-Thieme, G. Stumme (2007): Tag Recommendations in Folksonomies Proceedings of the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) 2007.
3. Analyse und Klassifikation mit Methoden des Relationalen Lernens Analyse von Gemeinschaften in Sozialen Netzwerken
   1. [ee] J. Leskovec, K. Lang, A. Dasgupta, M. Mahoney (2008): Statistical properties of community structure in large social and information networks Proceedings of WWW 2008.
   2. [ee] D. Cai, Z. Shao, X. He, X. Yan, J. Han (2005): Community mining from multi-relational networks Proceedings of PKDD 2005.
   Optional:
   3. [ee] M. Girvan, M. Newman (2006): Community structure in social and biological networks PNAS 2002, pp. 293-306.
4. Link Prediction basierend auf Netztopologie oder Ähnlichkeit .
   1. [ee] D. Liben-Nowell, J. Kleinberg (2003): The link prediction problem for social networks Proceedings of CIKM 2003.
   2. [ee] Z. Huang (2006): Link prediction based on graph topology: the predictive value of the generalized clustering coffecient Proceedings of LinkKDD 2006.
   Optional:
   3. [ee] T. Murata, S. Moriyasu (2007): Link prediction of social networks based on weighted proximity measures Proceedings of International Conference on Web Intelligence.
5. Link Prediction mit Methoden des maschinellen Lernens
   1. [ee] A. Popescul, L. Ungar (2003): Statistical relational learning for link prediction Proceedings of IJCAI 2003.
   2. [ee] B. Taskar, M. Wong, P. Abbeel, D. Koller (2003): Link prediction in relational data Proceedings of NIPS 2003.
6. Einführung in die Relationale Klassifikation
   1. [ee] P. Sen, L. Getoor (2007): Link-based classification Technical report 2007.
7. Relationale Klassifikation mit Hintergrundwissen
   1. [ee] S. Macskassy (2007): Improving Within-Network classification with local attributes IJCAI workshop 2007.
   2. [ee] A. McCallum, A. Corrada-Emmanuel, X. Wang (2005): Topic and role discovery in social networks Proceedings of IJCAI 2005.
8. Relationale Klassifikation mit Kollektiver Inferenz
   1. [ee] R. Xiang, J. Neville (2008): Pseudolikelihood EM for Within-Network Relational Learning Proceedings of SNA-KDD Workshop 2008.
   2. [ee] D. Jensen, J. Neville, B. Gallagher (2004): Why Collective Inference Improves Relational Classification Proceedings of KDD 2004.
9. Relationale Klassifikation mit komplexen Modellen
   1. [ee] W. Chu, V. Sindhwani, Z. Ghahramani, S. Keerthi (2006): Relational Learning with Gaussian Processes Proceedings of NIPS 2006.
   2. [ee] J. Neville, D. Jensen (2003): Collective classification with relational dependency networks Proceedings of the Second International Workshop on Multi-Relational Data Mining.
10. Anonymität und Spam in Sozialen Netzwerken Attacken auf Soziale Netzwerke
    1. [ee] L. Backstrom, C. Dwork, J. Kleinberg (2007): Wherefore Art Thou R3579X? Anonymized Social Networks, Hidden Patterns and Structural Stenography Proceedings of WWW 2007.