E. Abrahamson and L. Rosenkopf, Social Network Effects on the Extent of Innovation Diffusion: A Computer Simulation, Organization Science, vol.8, issue.3, pp.289-309, 1997.
DOI : 10.1287/orsc.8.3.289

A. Borodin, Y. Filmus, and J. Oren, Threshold Models for Competitive Influence in Social Networks, pp.1-15, 2010.
DOI : 10.1007/978-3-642-17572-5_48

K. Burton, A. Java, and I. Soboroff, The ICWSM 2009 Spinn3r Dataset, The Third Annual Conference on Weblogs and Social Media, 2009.

P. Dodds and D. Watts, Universal Behavior in a Generalized Model of Contagion, Physical Review Letters, vol.92, issue.21, p.218701, 2004.
DOI : 10.1103/PhysRevLett.92.218701

J. Goldenberg, B. Libai, and E. Muller, Talk of the Network: A Complex Systems Look at the Underlying Process of Word-of-Mouth. Marketing Letters pp, pp.211-223, 2001.

M. Granovetter, Threshold Models of Collective Behavior, American Journal of Sociology, vol.83, issue.6, pp.1420-1443, 1978.
DOI : 10.1086/226707

M. Granovetter and R. Soong, Threshold Models of Diversity: Chinese Restaurants, Residential Segregation, and the Spiral of Silence, Sociological Methodology, vol.18, pp.69-104, 1988.
DOI : 10.2307/271045

D. Kempe, J. Kleinberg, and E. Tardos, 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

M. Kimura, K. Saito, and R. Nakano, Extracting influential nodes on a social network for information diffusion, Proceedings Of The National Conference On Artificial Intelligence, p.1371, 2007.
DOI : 10.1007/s10618-009-0150-5

J. Leskovec, L. Backstrom, and J. Kleinberg, Meme-tracking and the dynamics of the news cycle, Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '09, pp.497-506, 2009.
DOI : 10.1145/1557019.1557077

D. Liben-nowell and J. Kleinberg, Tracing information flow on a global scale using Internet chain-letter data, Proceedings of the National Academy of Sciences, vol.105, issue.12, pp.4633-4638, 2008.
DOI : 10.1073/pnas.0708471105

D. López-pintado and D. J. Watts, Social Influence, Binary Decisions and Collective Dynamics, Rationality and Society, vol.20, issue.4, pp.399-443, 2008.
DOI : 10.1177/1043463108096787

M. W. Macy, Chains of Cooperation: Threshold Effects in Collective Action, American Sociological Review, vol.56, issue.6, pp.730-747, 1991.
DOI : 10.2307/2096252

C. D. Manning, P. Raghavan, and H. Schtze, Introduction to Information Retrieval, 2008.
DOI : 10.1017/CBO9780511809071

M. E. Newman, The Structure and Function of Complex Networks, SIAM Review, vol.45, issue.2, pp.167-256, 2003.
DOI : 10.1137/S003614450342480

M. Richardson and P. Domingos, Mining knowledge-sharing sites for viral marketing, Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '02, pp.61-7002, 2002.
DOI : 10.1145/775047.775057

M. G. Rodriguez, D. Balduzzi, and B. Schölkopf, Uncovering the temporal dynamics of diffusion networks, Proceedings of the 28th International Conference on Machine Learning, pp.561-568, 2011.

K. Saito, M. Kimura, K. Ohara, and H. Motoda, Learning Continuous-Time Information Diffusion Model for Social Behavioral Data Analysis, Learning, vol.5828, pp.322-337, 2009.
DOI : 10.1007/978-3-642-05224-8_25

K. Saito, R. Nakano, and M. Kimura, Prediction of Information Diffusion Probabilities for Independent Cascade Model, Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part III KES '08, pp.67-75, 2008.
DOI : 10.1007/978-3-540-85567-5_9

K. Saito, K. Ohara, Y. Yamagishi, M. Kimura, and H. Motoda, Learning Diffusion Probability Based on Node Attributes in Social Networks, ISMIS. Lecture Notes in Computer Science, vol.34, pp.153-162, 2011.
DOI : 10.1086/518527

T. W. Valente, Network Models of the Diffusion of Innovations (Quantitative Methods in Communication Subseries), NJ), 1995.

J. Yang and J. Leskovec, Modeling Information Diffusion in Implicit Networks, 2010 IEEE International Conference on Data Mining, 2010.
DOI : 10.1109/ICDM.2010.22