A. Borodin, Y. Filmus, and J. Oren, Threshold Models for Competitive Influence in Social Networks, Wine, pp.539-550, 2010.
DOI : 10.1007/978-3-642-17572-5_48

F. Brauer and C. Castillo-chavez, Mathematical Models in Population Biology and Epidemiology, 2001.

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, 2004.
DOI : 10.1103/PhysRevLett.92.218701

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

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

M. Gomez-rodriguez, D. Balduzzi, and B. Schölkopf, Uncovering the temporal dynamics of diffusion networks, Proceedings of the 28th international conference on machine learning, 2011.

M. Gomez-rodriguez, J. Leskovec, and A. Krause, Inferring networks of diffusion and influence, 2010.

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

R. Karp, Complexity of Computer Computations, chapter Reducibility among combinatorial problems, pp.85-103, 1972.

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, A. Krause, C. Guestrin, C. Faloutsos, J. Vanbriesen et al., Costeffective outbreak detection in networks, Proceedings of the 13th acm sigkdd international conference on knowledge discovery and data mining, pp.420-429, 2007.

D. López-pintado, Diffusion in complex social networks, Games and Economic Behavior, vol.62, issue.2, pp.573-590, 2008.
DOI : 10.1016/j.geb.2007.08.001

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. Schütze, An Introduction to Information Retrieval, 2008.
DOI : 10.1017/CBO9780511809071

K. Munshi, Social learning in a heterogeneous population: technology diffusion in the Indian Green Revolution, Journal of Development Economics, vol.73, issue.1, pp.185-213, 2004.
DOI : 10.1016/j.jdeveco.2003.03.003

G. L. Nemhauser, L. A. Wolsey, and M. L. Fisher, An analysis of approximations for maximizing submodular set functions???I, Mathematical Programming, vol.16, issue.1, pp.265-294, 1978.
DOI : 10.1007/BF01588971

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

B. A. Prakash, H. Tong, N. Valler, M. Faloutsos, and C. Faloutsos, Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms, Principles of data mining and knowledge discovery, pp.99-114, 2010.
DOI : 10.1007/978-3-642-15939-8_7

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.61-70, 2002.
DOI : 10.1145/775047.775057

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, 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, pp.153-162, 2011.
DOI : 10.1086/518527

T. Schelling, Dynamic models of segregation???, The Journal of Mathematical Sociology, vol.1, issue.2, 1971.
DOI : 10.2307/213133

H. Trottier and P. Philippe, Deterministic modeling of infectious diseases : Theory and methods, The Internet Journal of Infectious Diseases, vol.1, 2001.

T. Valente, Social network thresholds in the diffusion of innovations, Social Networks, vol.18, issue.1, pp.69-89, 1996.
DOI : 10.1016/0378-8733(95)00256-1

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

H. P. Young, Innovation Diffusion in Heterogeneous Populations: Contagion, Social Influence, and Social Learning, American Economic Review, vol.99, issue.5, pp.1899-1924, 2009.
DOI : 10.1257/aer.99.5.1899