L. Adamic and E. Adar, Friends and neighbors on the Web, Social Networks, vol.25, issue.3, 2003.
DOI : 10.1016/S0378-8733(03)00009-1

L. Backstrom, C. Dwork, and J. Kleinberg, Wherefore art thou r3579x?: anonymized social networks, hidden patterns, and structural steganography, Proc. of the Sixteenth Int. Conf. on World Wide Web (WWW'07), pp.181-190, 2007.

J. Baumes, M. Goldberg, M. Hayvanovych, M. Magdon-ismail, W. Wallace et al., Finding Hidden Group Structure in a Stream of Communications, Proc. of the IEEE Int. Conf. on Intelligence and Security InformaticsISI'06), pp.201-212, 2006.
DOI : 10.1007/11760146_18

M. Cha, A. Mislove, and K. Gummadi, A measurement-driven analysis of information propagation in the flickr social network, Proceedings of the 18th international conference on World wide web, WWW '09, pp.721-730, 2009.
DOI : 10.1145/1526709.1526806

R. Chellappa and A. Jain, Markov random fields: theory and application, 1993.

A. Clauset, C. Moore, and M. Newman, Hierarchical structure and the prediction of missing links in networks, Nature, vol.104, issue.7191, pp.98-101, 2008.
DOI : 10.1038/nature06830

P. Domingos and M. Richardson, Mining the network value of customers, Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '01, pp.57-66, 2001.
DOI : 10.1145/502512.502525

P. Domingos and M. Richardson, Markov Logic: A unifying framework for statistical relational learning, Proc. of the ICML'04 Workshop on Statistical Relational Learning and its Connections to Other Fields, pp.49-54, 2004.

N. Eagle and A. Pentland, Reality mining: sensing complex social systems, Personal and Ubiquitous Computing, vol.10, issue.2, pp.255-268, 2006.
DOI : 10.1007/s00779-005-0046-3

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.85.9752

D. Fogaras, B. Rácz, K. Csalogány, and T. Sarlós, Towards Scaling Fully Personalized PageRank: Algorithms, Lower Bounds, and Experiments, Internet Mathematics, vol.2, issue.3, pp.333-358, 2005.
DOI : 10.1080/15427951.2005.10129104

J. Gao and P. Tan, Converting Output Scores from Outlier Detection Algorithms into Probability Estimates, Sixth International Conference on Data Mining (ICDM'06), pp.212-221, 2006.
DOI : 10.1109/ICDM.2006.43

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.219.1543

L. Getoor, N. Friedman, D. Koller, and B. Taskar, Learning probabilistic models of link structure, Machine Learning, pp.679-707, 2003.

M. Hay, G. Miklau, D. Jensen, D. F. Towsley, and P. Weis, Resisting structural re-identification in anonymized social networks, PVLDB, vol.1, issue.1, pp.102-114, 2008.

D. Kempe and J. M. Kleinberg, Maximizing the spread of influence through a social network, Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '03, pp.137-146, 2003.
DOI : 10.1145/956750.956769

D. Liben-nowell and J. Kleinberg, The link-prediction problem for social networks, Journal of the American Society for Information Science and Technology, vol.393, issue.7, pp.1019-1031, 2007.
DOI : 10.1002/asi.20591

A. Narayanan, V. Shmatikov, J. O-'madadhain, J. Hutchins, and P. Smyth, De-anonymizing social networks Prediction and ranking algorithms for event-based network data, Proc. of the Thirtieth IEEE Symp. on Security and Privacy, pp.173-18723, 2005.

M. Potamias, F. Bonchi, A. Gionis, and G. Kollios, k-nearest neighbors in uncertain graphs, Proc. of the VLDB, the Thirty-Sixth Int. Conf. on Very Large Databases, 2010.
DOI : 10.14778/1920841.1920967

F. J. Provost, T. Fawcett, and R. Kohavi, The case against accuracy estimation for comparing induction algorithms, Proceedings of the Fifteenth Int. Conf. on Machine Learning (ICML'98), pp.445-453, 1998.

A. Singla and I. Weber, Camera brand congruence in the Flickr social graph, Proceedings of the Second ACM International Conference on Web Search and Data Mining, WSDM '09, pp.252-261, 2009.
DOI : 10.1145/1498759.1498834

B. Taskar, M. Wong, P. Abbeel, and D. Koller, Link prediction in relational data, Neural Information Processing Systems, 2003.

W. Van-der-aalst, H. Reijers, and M. Song, Discovering Social Networks from Event Logs, Computer Supported Cooperative Work (CSCW), vol.2, issue.3, pp.549-593, 2005.
DOI : 10.1007/s10606-005-9005-9

B. Zadrozny and C. Elkan, Obtaining calibrated probability estimates from decision trees and naive bayesian classifiers, Proc. of the Eighteenth Int. Conf. on Machine Learning (ICML'01), pp.609-616, 2001.

B. Zadrozny and C. Elkan, Transforming classifier scores into accurate multiclass probability estimates, Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '02, pp.694-699, 2002.
DOI : 10.1145/775047.775151

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.13.7457

J. Zhang and Y. Yang, Probabilistic score estimation with piecewise logistic regression, Twenty-first international conference on Machine learning , ICML '04, p.115, 2004.
DOI : 10.1145/1015330.1015335

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1.5704

E. Zheleva and L. Getoor, To join or not to join, Proceedings of the 18th international conference on World wide web, WWW '09, pp.531-540, 2009.
DOI : 10.1145/1526709.1526781