, characterizing the long memory of the market order sign autocorrelation C ? (?) = a? b. Top plots: evolution of a averaged over all the members of the bottom and top quantile of R ? (q) (left plot) and S ? (q) (right plot). Bottom plots: evolution of b averaged over all the members of the bottom and top quantiles (orange and blue lines, respectively) of R ? (q)

J. S. Abarbanell and B. J. Bushee, Fundamental analysis, future earnings, and stock prices, Journal of Accounting Research, vol.35, pp.1-24, 1997.
DOI : 10.2307/2491464

D. Acemoglu, A. Ozdaglar, and A. Salehi, Systemic risk and stability in financial networks, American Economic Review, vol.105, 2015.
DOI : 10.2139/ssrn.2207439

E. Akyildirim and H. M. Soner, A brief history of mathematics in finance, Borsa Istanbul Review, vol.14, issue.3, pp.57-63, 2014.

F. Allen and D. Gale, Financial contagion, Journal of political economy, vol.108, 2000.

L. A. Amaral, S. V. Buldyrev, S. Havlin, P. Maass, M. A. Salinger et al., Scaling behavior in economics: the problem of quantifying company growth, Physica A: Statistical Mechanics and its Applications, vol.244, pp.1-24, 1997.

M. Anton and C. Polk, Connected stocks, The Journal of Finance, vol.69, 2014.

. Aristotle,

B. W. Arthur, Inductive reasoning and bounded rationality: the El Farol problem, Am. Econ. Rev, vol.84, pp.406-411, 1994.

R. L. Axtell, Zipf distribution of us firm sizes. science, vol.293, p.28, 2001.
DOI : 10.1126/science.1062081

L. Bachelier, Théorie de la spéculation, 1900.

R. Ball and P. Brown, An empirical evaluation of accounting income numbers, Journal of accounting research, vol.80, pp.159-178, 1968.
DOI : 10.2307/2490232

P. Barucca, M. Bardoscia, F. Caccioli, M. ;-d'errico, G. Visentin et al., Network valuation in financial systems, p.31, 2016.
DOI : 10.2139/ssrn.2795583
URL : http://arxiv.org/pdf/1606.05164

S. Battiston, J. D. Farmer, A. Flache, D. Garlaschelli, A. G. Haldane et al., Controlling the False Discovery Rate : a practical and powerful approach to multiple testing, 31 References Benjamini, vol.351, pp.818-819, 1995.

P. Blanc, J. Donier, and J. Bouchaud, Quadratic hawkes processes for financial prices, Quantitative Finance, vol.17, pp.171-188, 2017.
DOI : 10.2139/ssrn.2665669
URL : http://arxiv.org/pdf/1509.07710

J. Blanchet and A. Stauffer, Characterizing optimal sampling of binary contingency tables via the configuration model, Random Structures & Algorithms, vol.42, pp.159-184, 2013.
DOI : 10.1002/rsa.20403
URL : http://arxiv.org/pdf/1007.1214.pdf

M. Bluhm and J. P. Krahnen, Default risk in an interconnected banking system with endogeneous asset markets, p.31, 2011.

S. P. Borgatti and D. S. Halgin, Analyzing affiliation networks. The Sage handbook of social network analysis, vol.1, pp.417-433, 2011.
DOI : 10.4135/9781446294413.n28
URL : http://www.steveborgatti.com/papers/bhaffiliations.pdf

G. Bottazzi and A. Secchi, Common properties and sectoral specificities in the dynamics of us manufacturing companies, Review of Industrial Organization, vol.23, pp.217-232, 2003.

J. Bouchaud, Power laws in economics and finance: some ideas from physics, p.27, 2001.

J. Bouchaud, An introduction to statistical finance, Physica A: Statistical Mechanics and its Applications, vol.313, issue.4, pp.238-251, 2002.

J. Bouchaud, Y. Gefen, M. Potters, and M. Wyart, Fluctuations and response in financial markets: the subtle nature of 'random' price changes, Quantitative finance, vol.4, 2004.

M. K. Brunnermeier, Deciphering the liquidity and credit crunch, Journal of Economic perspectives, vol.23, p.1, 2007.

K. Butler, M. ;. Stephens, C. A. Stanford-univ, . Dept, and . Statistics, The distribution of a sum of binomial random variables, p.52, 1993.

F. Caccioli, M. Shrestha, C. Moore, and J. D. Farmer, Stability analysis of financial contagion due to overlapping portfolios, Journal of Banking & Finance, vol.46, p.49, 2014.

J. Y. Campbell, A. W. Lo, and A. C. Mackinlay, The econometrics of financial markets, vol.2, 1997.

M. Cesa, A brief history of quantitative finance. Probability, Uncertainty and Quantitative Risk, vol.2, p.1, 2017.

D. Challet, Regrets, learning and wisdom, The European Physical Journal Special Topics, vol.225, issue.2, pp.3137-3143, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01312973

D. Challet, R. Chicheportiche, M. Lallouache, and S. Kassibrakis, Trader lead-lag networks and order flow prediction, p.65, 2016.

J. A. Chan-lau, M. Espinosa, K. Giesecke, and J. A. Solé, Assessing the systemic implications of financial linkages, p.31, 2009.

R. Cifuentes, G. Ferrucci, and H. S. Shin, Liquidity risk and contagion, Journal of the European Economic Association, vol.3, p.31, 2005.

G. Cimini and M. Serri, Entangling credit and funding shocks in interbank markets, PloS one, vol.11, 2016.

G. Cimini, T. Squartini, D. Garlaschelli, and A. Gabrielli, Systemic risk analysis on reconstructed economic and financial networks, Scientific reports, vol.5, 2015.

A. Clauset, C. R. Shalizi, and M. E. Newman, Power-law distributions in empirical data, SIAM review, vol.51, pp.661-703, 2009.

W. S. Cleveland, E. Grosse, and W. M. Shyu, Local regression models. Statistical models in S, vol.2, pp.309-376, 1992.

R. Cont and L. Wagalath, Fire sales forensics: measuring endogenous risk, Mathematical Finance, vol.31, p.49, 2014.
URL : https://hal.archives-ouvertes.fr/hal-00697224

F. Corsi, S. Marmi, and F. Lillo, When micro prudence increases macro risk: The destabilizing effects of financial innovation, leverage, and diversification, Operations Research, vol.64, 2016.

C. P. Davis-stober, D. V. Budescu, J. Dana, and S. B. Broomell, When is a crowd wise? Decision, vol.1, 2014.

D. M. De-lachapelle and D. Challet, Turnover, account value and diversification of real traders: evidence of collective portfolio optimizing behavior, New Journal of Physics, vol.12, 2010.

P. M. Dechow, A. P. Hutton, L. Meulbroek, and R. G. Sloan, Short-sellers, fundamental analysis, and stock returns, Journal of Financial Economics, vol.61, pp.77-106, 2001.

D. W. Diamond, Optimal release of information by firms. The journal of finance, vol.40, pp.1071-1094, 1985.
DOI : 10.2307/2328395

G. Dosi, Statistical regularities in the evolution of industries: a guide through some evidence and challenges for the theory, LEM working paper series, p.28, 2005.

D. Easley, M. L. De-prado, and M. Hara, Discerning information from trade data, Journal of Financial Economics, vol.120, pp.269-285, 2016.
DOI : 10.1016/j.jfineco.2016.01.018

L. Eisenberg and T. H. Noe, Systemic risk in financial systems, Management Science, vol.47, p.31, 2001.

Z. Eisler and J. Kertesz, Size matters: some stylized facts of the stock market revisited. The European Physical Journal B-Condensed Matter and Complex Systems, vol.51, pp.145-154, 2006.
DOI : 10.1140/epjb/e2006-00189-6
URL : http://arxiv.org/pdf/physics/0508156

E. F. Fama, The behavior of stock-market prices, The journal of Business, vol.38, 1965.

E. F. Fama, Market efficiency, long-term returns, and behavioral finance, Journal of financial economics, vol.49, pp.283-306, 1998.
DOI : 10.2139/ssrn.15108
URL : http://www.e-m-h.org/Fama98.pdf

J. D. Farmer, Physicists attempt to scale the ivory towers of finance, Computing in Science & Engineering, vol.1, issue.6, p.27, 1999.

G. Fox, J. Qiu, S. Jha, S. Ekanayake, and S. Kamburugamuve, Big data, simulations and hpc convergence, Big Data Benchmarking, pp.3-17, 2015.
DOI : 10.1007/978-3-319-49748-8_1

R. Frankel and C. M. Lee, Accounting valuation, market expectation, and cross-sectional stock returns, Journal of Accounting and economics, vol.25, pp.283-319, 1998.
DOI : 10.1016/s0165-4101(98)00026-3

M. Friedman, The case for flexible exchange rates, p.79, 1953.

X. Gabaix, P. Gopikrishnan, V. Plerou, and H. E. Stanley, A theory of power-law distributions in financial market fluctuations, Nature, vol.423, p.28, 2003.

X. Gabaix, P. Gopikrishnan, V. Plerou, and H. E. Stanley, Institutional investors and stock market volatility, The Quarterly Journal of Economics, vol.121, issue.2, pp.461-504, 2006.

X. Gabaix, R. Ramalho, and J. Reuter, Power laws and mutual fund dynamics, 2003.

P. Gai and S. Kapadia, Contagion in financial networks, Proc. R. Soc. A, vol.466, p.31, 2010.

F. Galton, Vox populi (the wisdom of crowds), Nature, vol.55, pp.450-51, 1907.

D. Giannone, L. Reichlin, and D. Small, Nowcasting: The real-time informational content of macroeconomic data, Journal of Monetary Economics, vol.55, issue.2, pp.665-676, 2008.
DOI : 10.1016/j.jmoneco.2008.05.010
URL : http://homepages.ulb.ac.be/~dgiannon/Nowcasting.pdf

C. Gillespie, powerlaw: Analysis of heavy tailed distributions. R package version 0, p.27, 2015.

A. Gionis, H. Mannila, T. Mielikäinen, and P. Tsaparas, Assessing data mining results via swap randomization, ACM Transactions on Knowledge Discovery from Data (TKDD), vol.1, issue.3, 2007.
DOI : 10.1145/1150402.1150424

P. Glasserman and H. P. Young, How likely is contagion in financial networks, Journal of Banking & Finance, vol.50, p.32, 2015.

D. S. Goldberg and F. P. Roth, Assessing experimentally derived interactions in a small world, Proceedings of the National Academy of Sciences, vol.100, pp.4372-4376, 2003.

J. R. Graham, C. R. Harvey, and S. Rajgopal, The economic implications of corporate financial reporting, Journal of accounting and economics, vol.40, pp.3-73, 2005.

R. Greenwood and D. Thesmar, Stock price fragility, Journal of Financial Economics, vol.102, 2011.
DOI : 10.2139/ssrn.1490734
URL : https://hal.archives-ouvertes.fr/hal-00635979

A. C. Greig, Fundamental analysis and subsequent stock returns, Journal of Accounting and Economics, vol.15, pp.413-442, 1992.

S. Gualdi, M. Tarzia, F. Zamponi, and J. Bouchaud, Tipping points in macroeconomic agent-based models, Journal of Economic Dynamics and Control, vol.50, pp.29-61, 2015.

A. G. Haldane and R. M. May, Systemic risk in banking ecosystems, Nature, vol.469, p.31, 2011.

D. S. Hamermesh, Six decades of top economics publishing: Who and how, Journal of Economic Literature, vol.51, p.1, 2013.

W. Härdle and A. Kirman, Nonclassical demand: A model-free examination of price-quantity relations in the Marseille fish market, Journal of Econometrics, vol.67, pp.227-257, 1995.

J. E. Hartley and J. E. Hartley, The representative agent in macroeconomics, Routledge, p.55, 2002.

P. M. Healy and K. G. Palepu, Information asymmetry, corporate disclosure, and the capital markets: A review of the empirical disclosure literature, Journal of accounting and economics, vol.31, pp.1-3, 2001.

S. Hill and N. Ready-campbell, Expert stock picker: the wisdom of (experts in) crowds, International Journal of Electronic Commerce, vol.15, pp.73-102, 2011.

R. M. Hogarth, A note on aggregating opinions, Organizational Behavior and Human Performance, vol.21, pp.40-46, 1978.

L. Hong and S. E. Page, Groups of diverse problem solvers can outperform groups of high-ability problem solvers, Proceedings of the National Academy of Sciences of the United States of America, vol.101, p.64, 2004.

Y. Hong, On computing the distribution function for the poisson binomial distribution, Computational Statistics & Data Analysis, vol.59, pp.41-51, 2013.

E. Horvát and K. A. Zweig, A fixed degree sequence model for the onemode projection of multiplex bipartite graphs, Social Network Analysis and Mining, vol.3, p.4, 2013.

G. Iori, S. Jafarey, and F. G. Padilla, Systemic risk on the interbank market, Journal of Economic Behavior & Organization, vol.61, issue.4, p.31, 2006.

A. Khandani and A. W. Lo, What happened to the quants in, p.45, 2007.

A. P. Kirman, Whom or what does the representative individual represent?, The Journal of Economic Perspectives, vol.6, pp.117-136, 1992.

A. Krause and S. Giansante, Interbank lending and the spread of bank failures: A network model of systemic risk, Journal of Economic Behavior & Organization, vol.83, issue.3, p.31, 2012.

H. E. Landemore, Why the many are smarter than the few and why it matters, Journal of public deliberation, vol.8, p.55, 2012.

M. Latapy, C. Magnien, and N. Vecchio, Basic notions for the analysis of large two-mode networks, Social networks, vol.30, pp.31-48, 2008.
URL : https://hal.archives-ouvertes.fr/hal-01146080

C. Lee and M. J. Ready, Inferring trade direction from intraday data, The Journal of Finance, vol.46, pp.733-746, 1991.

B. Lev and S. R. Thiagarajan, Fundamental information analysis, Journal of Accounting research, vol.80, pp.190-215, 1993.

F. Lillo, Limit order placement as an utility maximization problem and the origin of power law distribution of limit order prices, The European Physical Journal B, vol.55, pp.453-459, 2007.

F. Lillo and J. D. Farmer, The long memory of the efficient market, Studies in nonlinear dynamics & econometrics, vol.8, p.65, 2004.

F. Lillo, S. Mike, and J. D. Farmer, Theory for long memory in supply and demand, Physical review e, vol.71, p.75, 2005.

J. Lorenz, H. Rauhut, F. Schweitzer, and D. Helbing, How social influence can undermine the wisdom of crowd effect, Proceedings of the National Academy of Sciences, vol.108, p.64, 2011.

T. Lux, Herd behaviour, bubbles and crashes. The economic journal, vol.64, pp.881-896, 1995.

P. Lynch and G. Zumbach, Market heterogeneities and the causal structure of the volatility, Quantitative Finance, vol.3, pp.320-331, 2003.

B. G. Malkiel, The efficient market hypothesis and its critics, The Journal of Economic Perspectives, vol.17, pp.59-82, 2003.

B. G. Malkiel and E. F. Fama, Efficient capital markets: A review of theory and empirical work, The journal of Finance, vol.25, pp.383-417, 1970.

B. Mandelbrot, The variation of some other speculative prices, The Journal of Business, vol.40, pp.393-413, 1967.

B. B. Mandelbrot, The variation of certain speculative prices, Fractals and scaling in finance, p.27, 1997.

R. N. Mantegna and H. E. Stanley, Introduction to econophysics: correlations and complexity in finance, 1999.

H. Markowitz, Portfolio selection*. The journal of finance, vol.7, pp.77-91, 1952.

R. M. May and N. Arinaminpathy, Systemic risk: the dynamics of model banking systems, Journal of the Royal Society Interface, vol.7, p.31, 2010.

I. Mcculloh, J. Lospinoso, C. , and K. , The link probability model: A network simulation alternative to the exponential random graph model, vol.33, p.34, 2010.

R. G. Miller, Simultaneous Statistical Inference. Springer Series in Statistics, p.50, 1981.

T. References-mizuno, M. Takayasu, and H. Takayasu, The mean-field approximation model of company's income growth, Physica A: Statistical Mechanics and its Applications, vol.332, pp.403-411, 2004.

L. Muchnik, S. Aral, and S. J. Taylor, Social influence bias: A randomized experiment, Science, vol.341, p.64, 2013.

V. M. Muggeo, Estimating regression models with unknown break-points, Statistics in medicine, vol.22, pp.3055-3071, 2003.

Z. Neal, Identifying statistically significant edges in one-mode projections, Social Network Analysis and Mining, vol.3, issue.4, 2013.

Z. Neal, The backbone of bipartite projections: Inferring relationships from coauthorship, co-sponsorship, co-attendance and other co-behaviors, Social Networks, vol.39, p.34, 2014.

M. Nofer and O. Hinz, Are crowds on the internet wiser than experts? the case of a stock prediction community, Journal of Business Economics, vol.84, pp.303-338, 2014.

J. A. Ou and S. H. Penman, Financial statement analysis and the prediction of stock returns, Journal of accounting and economics, vol.11, issue.4, pp.295-329, 1989.

V. Pareto, Cours d'économie politique, vol.1, p.27, 1964.

J. Park and M. E. Newman, Statistical mechanics of networks, Physical Review E, vol.70, p.51, 2004.

S. H. Penman, Return to fundamentals, Journal of Accounting, Auditing & Finance, vol.7, issue.4, pp.465-483, 1992.

S. Roychowdhury, Earnings management through real activities manipulation, Journal of accounting and economics, vol.42, issue.3, pp.335-370, 2006.

F. Saracco, R. D. Clemente, A. Gabrielli, and T. Squartini, Grandcanonical projection of bipartite networks, p.52, 2016.

F. Saracco, R. Di-clemente, A. Gabrielli, and T. Squartini, Randomizing bipartite networks: the case of the world trade web, Scientific Reports, vol.5, p.51, 2015.

Y. Schwarzkopf and J. D. Farmer, Time evolution of the mutual fund size distribution, p.28, 2008.

Y. Schwarzkopf and J. D. Farmer, Empirical study of the tails of mutual fund size, Physical Review E, vol.81, 2010.

M. Á. Serrano, M. Boguná, and A. Vespignani, Extracting the multiscale backbone of complex weighted networks, Proceedings of the national academy of sciences, vol.106, pp.6483-6488, 2009.

A. Shleifer and R. W. Vishny, Liquidation values and debt capacity: A market equilibrium approach, The Journal of Finance, vol.47, p.31, 1992.

A. Shleifer and R. W. Vishny, Fire sales in finance and macroeconomics, p.31, 2010.

A. Smith, The theory of moral sentiments, vol.80, 1759.

A. Smith, The Wealth of Nations, p.80, 1776.

S. Solomon and P. Richmond, Power laws of wealth, market order volumes and market returns, Physica A: Statistical Mechanics and its Applications, vol.299, pp.188-197, 2001.
DOI : 10.1016/s0378-4371(01)00295-3
URL : http://arxiv.org/pdf/cond-mat/0102423

T. Squartini and D. Garlaschelli, Analytical maximum-likelihood method to detect patterns in real networks, New Journal of Physics, vol.13, 2011.
DOI : 10.1088/1367-2630/13/8/083001
URL : http://iopscience.iop.org/article/10.1088/1367-2630/13/8/083001/pdf

M. H. Stanley, L. A. Amaral, S. V. Buldyrev, S. Havlin, H. Leschhorn et al., Scaling behaviour in the growth of companies, Nature, vol.379, p.28, 1996.

M. H. Stanley, S. V. Buldyrev, S. Havlin, R. N. Mantegna, M. A. Salinger et al., Zipf plots and the size distribution of firms, Economics letters, vol.49, pp.453-457, 1995.
DOI : 10.1016/0165-1765(95)00696-d

J. Staum, Counterparty contagion in context: Contributions to systemic risk, p.31, 2012.
DOI : 10.2139/ssrn.1963459

S. Steegen, L. Dewitte, F. Tuerlinckx, and W. Vanpaemel, Measuring the crowd within again: a pre-registered replication study, Frontiers in psychology, vol.5, p.55, 2014.
DOI : 10.3389/fpsyg.2014.00786
URL : https://www.frontiersin.org/articles/10.3389/fpsyg.2014.00786/pdf

P. Sudarsanam, Y. Pilpel, and G. M. Church, Genome-wide co-occurrence of promoter elements reveals a cis-regulatory cassette of rrna transcription motifs in saccharomyces cerevisiae, Genome research, vol.12, pp.1723-1731, 2002.

J. Surowiecki, The wisdom of crowds, p.55, 2005.

E. Theissen, A test of the accuracy of the lee/ready trade classification algorithm, Journal of International Financial Markets, Institutions and Money, vol.11, issue.2, pp.147-165, 2001.

I. M. References-toke, Reconstruction of order flows using aggregated data. Market microstructure and liquidity, vol.2, p.2, 2016.

B. Toth, I. Palit, F. Lillo, and J. D. Farmer, Why is equity order flow so persistent, Journal of Economic Dynamics and Control, vol.51, pp.218-239, 2015.

M. Tumminello, F. Lillo, J. Piilo, and R. Mantegna, Identification of clusters of investors from their real trading activity in a financial market, New Journal of Physics, p.14, 2012.

M. Tumminello, S. Miccichè, F. Lillo, J. Piilo, and R. N. Mantegna, Statistically validated networks in bipartite complex systems, PLOS ONE, vol.6, issue.3, p.53, 2011.
DOI : 10.1371/journal.pone.0017994
URL : https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0017994&type=printable

E. Vul and H. Pashler, Measuring the crowd within: Probabilistic representations within individuals, Psychological Science, vol.19, pp.645-647, 2008.
DOI : 10.1111/j.1467-9280.2008.02136.x
URL : http://apophenia.wikidot.com/local--files/start/vul_2008_measuring_the_crowd.pdf

Q. H. Vuong, Likelihood ratio tests for model selection and non-nested hypotheses, Econometrica: Journal of the Econometric Society, vol.28, pp.307-333, 1989.
DOI : 10.2307/1912557
URL : https://authors.library.caltech.edu/81424/1/sswp605.pdf

J. O. Weatherall, The physics of wall street: a brief history of predicting the unpredictable, 2013.

B. Xue, M. Zhang, W. N. Browne, and X. Yao, A survey on evolutionary computation approaches to feature selection, IEEE Transactions on Evolutionary Computation, vol.20, issue.2, pp.606-626, 2016.
DOI : 10.1109/tevc.2015.2504420
URL : https://doi.org/10.1109/tevc.2015.2504420

Y. Zhai, Y. Ong, and I. W. Tsang, The emerging" big dimensionality, IEEE Computational Intelligence Magazine, vol.9, p.5, 2014.
DOI : 10.1109/mci.2014.2326099

W. Zhou, G. Mu, W. Chen, and D. Sornette, Investment strategies used as spectroscopy of financial markets reveal new stylized facts, PloS one, vol.6, 2011.
DOI : 10.1371/journal.pone.0024391
URL : https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0024391&type=printable

G. Zumbach, How trading activity scales with company size in the ftse 100, Quantitative Finance, vol.4, pp.441-456, 2004.

G. Zumbach, Time reversal invariance in finance, Quantitative Finance, vol.9, pp.505-515, 2009.

K. A. Zweig and M. Kaufmann, A systematic approach to the one-mode projection of bipartite graphs, Social Network Analysis and Mining, vol.1, issue.3, pp.187-218, 2011.