A. Abisheva, V. R. Garimella, D. Garcia, and I. Weber, Who watches (and shares) what on youtube? and when?, Proceedings of the 7th ACM international conference on Web search and data mining, WSDM '14, 2014.
DOI : 10.1145/2556195.2566588

L. A. Adamic and N. Glance, The political blogosphere and the 2004 U.S. election, Proceedings of the 3rd international workshop on Link discovery , LinkKDD '05, 2005.
DOI : 10.1145/1134271.1134277

E. Bakshy, J. M. Hofman, W. A. Mason, and D. J. Watts, Everyone's an influencer, Proceedings of the fourth ACM international conference on Web search and data mining, WSDM '11, 2011.
DOI : 10.1145/1935826.1935845

M. Cha, H. Haddadi, F. Benevenuto, and K. Gummadi, Measuring user influence in Twitter: The million follower fallacy, Proc. of AAAI ICWSM'10, 2010.

M. Cha, H. Kwak, P. Rodriguez, Y. Ahn, and S. Moon, Analyzing the video popularity characteristics of large-scale user generated content systems, IEEE/ACM TON, vol.17, issue.5, pp.1357-1370, 2009.

R. Crane and D. Sornette, Robust dynamic classes revealed by measuring the response function of a social system, PNAS, pp.15649-15653, 2008.
DOI : 10.1073/pnas.0803685105

M. H. Degroot, Reaching a Consensus, Journal of the American Statistical Association, vol.38, issue.345, pp.118-121, 1974.
DOI : 10.1287/mnsc.15.2.B61

M. Gabielkov, A. Rao, and A. Legout, Studying social networks at scale: macroscopic anatomy of the Twitter social graph, Proc. of ACM SIGMETRICS'14, 2014.
URL : https://hal.archives-ouvertes.fr/hal-00948889

S. Goel, A. Broder, E. Gabrilovich, and B. Pang, Anatomy of the long tail, Proceedings of the third ACM international conference on Web search and data mining, WSDM '10, 2010.
DOI : 10.1145/1718487.1718513

M. Gomez-rodriguez, J. Leskovec, and A. Krause, Inferring networks of diffusion and influence, ACM TKDD, vol.5, issue.4, 2012.

N. Hegde, L. Massoulié, and L. Viennot, Self-organizing flows in social networks, Proc. of SIROCCO'13, pp.116-128, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00909718

E. Katz, The Two-Step Flow of Communication: An Up-To-Date Report on an Hypothesis, Public Opinion Quarterly, vol.21, issue.1, Anniversary Issue Devoted to Twenty Years of Public Opinion Research, p.61, 1957.
DOI : 10.1086/266687

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, 2003.
DOI : 10.1145/956750.956769

J. M. Kleinberg, Cascading behavior in networks: Algorithmic and economic issues Algorithmic game theory, 2007.

M. Lelarge, Efficient control of epidemics over random networks, Proceedings of the eleventh international joint conference on Measurement and modeling of computer systems, SIGMETRICS '09, 2009.
DOI : 10.1145/1555349.1555351

M. Lelarge, Diffusion and cascading behavior in random networks, Games and Economic Behavior, vol.75, issue.2, pp.752-775, 2012.
DOI : 10.1016/j.geb.2012.03.009

URL : https://hal.archives-ouvertes.fr/hal-01270330

D. Liben-nowell and J. M. Kleinberg, Tracing information flow on a global scale using Internet chain-letter data, PNAS, p.4633, 2008.
DOI : 10.1073/pnas.0708471105

C. G. Lord, L. Ross, and M. R. Lepper, Biased assimilation and attitude polarization: The effects of prior theories on subsequently considered evidence., Journal of Personality and Social Psychology, vol.37, issue.11, p.2098, 1979.
DOI : 10.1037/0022-3514.37.11.2098

]. L. Massoulié, M. I. Ohannessian, and A. Proutiere, Greedy-Bayes for targeted news dissemination, Proc. of ACM SIGMETRICS'15, 2015.

A. May, A. Chaintreau, N. Korula, and S. Lattanzi, Filter & Follow: How social media foster content curation, Proc. of ACM SIGMETRICS'14, 2014.

H. B. Mcmahan, G. Holt, D. Sculley, M. Young, and D. Ebner, Ad click prediction, Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '13, 2013.
DOI : 10.1145/2487575.2488200

A. Mitchell, J. Gottfried, J. Kiley, and K. E. Matsa, Political polarization & media habits, Pew Research Center, 2014.

J. Ok, Y. Jin, J. Shin, and Y. Yi, On maximizing diffusion speed in social networks, Proc. of ACM SIGMETRICS'14, 2014.

P. Pinto, P. Thiran, and M. Vetterli, Locating the source of diffusion in large-scale networks. Physical review letters, p.68702, 2012.

G. Szabo and B. A. Huberman, Predicting the popularity of online content, Communications of the ACM, vol.53, issue.8, 2010.
DOI : 10.1145/1787234.1787254

L. Wang, A. Ramachandran, and A. Chaintreau, Measuring click and share dynamics on social media: a reproducible and validated approach, Proc. of AAAI ICWSM NECO'16, 2016.

F. M. Wong, Z. Liu, and M. Chiang, On the efficiency of social recommender networks, Proc. of IEEE INFOCOM'15, 2015.

F. Wu and B. A. Huberman, Novelty and collective attention, PNAS, pp.17599-17601, 2007.
DOI : 10.1073/pnas.0704916104

S. Wu, J. M. Hofman, W. A. Mason, and D. J. Watts, Who says what to whom on twitter, Proceedings of the 20th international conference on World wide web, WWW '11, 2011.
DOI : 10.1145/1963405.1963504

J. Xu, R. Wu, K. Zhu, B. Hajek, R. Srikant et al., Jointly clustering rows and columns of binary matrices, Proc. of ACM SIGMETRICS'14, 2014.

J. Yang and J. Leskovec, Patterns of temporal variation in online media, Proceedings of the fourth ACM international conference on Web search and data mining, WSDM '11, 2011.
DOI : 10.1145/1935826.1935863

R. B. Zadeh, A. Goel, K. Munagala, and A. Sharma, On the precision of social and information networks