M. and A. Hasan, Link prediction using supervised learning, SDM'06: Workshop on Link Analysis, Counter-terrorism and Security, 2006.

L. Backstrom and J. Leskovec, Supervised random walks, Proceedings of the fourth ACM international conference on Web search and data mining, WSDM '11, pp.635-644, 2011.
DOI : 10.1145/1935826.1935914

N. Benchettara, Supervised Machine Learning Applied to Link Prediction in Bipartite Social Networks, 2010 International Conference on Advances in Social Networks Analysis and Mining, pp.326-330, 2010.
DOI : 10.1109/ASONAM.2010.87

C. Bliss, An evolutionary algorithm approach to link prediction in dynamic social networks, Journal of Computational Science, vol.5, issue.5, 2013.
DOI : 10.1016/j.jocs.2014.01.003

C. J. Burges, Learning to rank using an ensemble of lambda-gradient models, Journal of Machine Learning Research-Proceedings Track, vol.14, pp.25-35, 2011.

P. M. Comar, LinkBoost: A Novel Cost-Sensitive Boosting Framework for Community-Level Network Link Prediction, 2011 IEEE 11th International Conference on Data Mining, pp.131-140, 2011.
DOI : 10.1109/ICDM.2011.93

K. Dasgupta, Social ties and their relevance to churn in mobile telecom networks, Proceedings of the 11th international conference on Extending database technology Advances in database technology, EDBT '08, pp.668-677, 2008.
DOI : 10.1145/1353343.1353424

D. Davis, Supervised methods for multi-relational link prediction. Social Network Analysis and Mining, pp.127-141, 2013.
DOI : 10.1007/s13278-012-0068-6

C. Drummond and R. C. Holte, Explicitly representing expected cost, Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '00, pp.198-207, 2000.
DOI : 10.1145/347090.347126

C. Dwork, Rank aggregation methods for the Web, Proceedings of the tenth international conference on World Wide Web , WWW '01, pp.613-622, 2001.
DOI : 10.1145/371920.372165

Y. Freund, An efficient boosting algorithm for combining preferences, Journal of machine learning research, vol.4, pp.933-969, 2003.

H. Jeong, Measuring preferential attachment in evolving networks, Europhysics Letters (EPL), vol.61, issue.4, p.567, 2003.
DOI : 10.1209/epl/i2003-00166-9

H. Kashima, Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction, SDM'09, pp.1099-1110, 2009.
DOI : 10.1137/1.9781611972795.94

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.165.8986

L. Katz, A new status index derived from sociometric analysis, Psychometrika, vol.13, issue.1, pp.39-43, 1953.
DOI : 10.1007/BF02289026

G. Kossinets and D. J. Watts, Empirical Analysis of an Evolving Social Network, Science, vol.311, issue.5757, pp.31188-90, 2006.
DOI : 10.1126/science.1116869

J. Leskovec, Microscopic evolution of social networks, Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD 08, pp.462-470, 2008.
DOI : 10.1145/1401890.1401948

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

R. N. Lichtenwalter, New perspectives and methods in link prediction, Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '10, pp.243-252, 2010.
DOI : 10.1145/1835804.1835837

G. Linden, Amazon.com recommendations: item-to-item collaborative filtering, IEEE Internet Computing, vol.7, issue.1, pp.76-80, 2003.
DOI : 10.1109/MIC.2003.1167344

Y. T. Liu, Supervised rank aggregation, Proceedings of the 16th international conference on World Wide Web , WWW '07, 2007.
DOI : 10.1145/1242572.1242638

L. Lü and T. Zhou, Link prediction in complex networks: A survey, Physica A: Statistical Mechanics and its Applications, vol.390, issue.6, pp.1150-1170, 2011.
DOI : 10.1016/j.physa.2010.11.027

Z. Lu, Supervised Link Prediction Using Multiple Sources, 2010 IEEE International Conference on Data Mining, pp.923-928, 2010.
DOI : 10.1109/ICDM.2010.112

T. Murata and S. Moriyasu, Link Prediction of Social Networks Based on Weighted Proximity Measures, IEEE/WIC/ACM International Conference on Web Intelligence (WI'07), pp.85-88, 2007.
DOI : 10.1109/WI.2007.52

B. Ngonmang, Churn Prediction in a Real Online Social Network Using Local CommunIty Analysis, 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pp.282-288, 2012.
DOI : 10.1109/ASONAM.2012.55

M. Pujari and R. Kanawati, Supervised rank aggregation approach for link prediction in complex networks, Proceedings of the 21st international conference companion on World Wide Web, WWW '12 Companion, 2012.
DOI : 10.1145/2187980.2188260

T. Raeder, Predictors of short-term decay of cell phone contacts in a large scale communication network, Social Networks, vol.33, issue.4, pp.245-257, 2011.
DOI : 10.1016/j.socnet.2011.07.002

S. Scellato, Exploiting place features in link prediction on location-based social networks, Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '11, pp.1046-1054, 2011.
DOI : 10.1145/2020408.2020575

T. Tylenda, Towards time-aware link prediction in evolving social networks, Proceedings of the 3rd Workshop on Social Network Mining and Analysis, SNA-KDD '09, p.9, 2009.
DOI : 10.1145/1731011.1731020

F. Wei, iRANK: A rank-learn-combine framework for unsupervised ensemble ranking, Journal of the American Society for Information Science and Technology, vol.16, issue.6, pp.611232-1243, 2010.
DOI : 10.1002/asi.21296

T. Zhou, Predicting missing links via local information, The European Physical Journal B, vol.30, issue.4, 2009.
DOI : 10.1140/epjb/e2009-00335-8

URL : http://arxiv.org/abs/0901.0553