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  1. Muchnik, L., Aral, S., & Taylor, S. J. (2013). Social Influence Bias: A Randomized Experiment. Science, 341(6146), 647–651. doi:10.1126/science.1240466
  2. Aral, S., Muchnik, L., & Sundararajan, A. (2013). Engineering Social Contagions: Optimal Network Seeding and Incentive Strategies. Network Science, FirstView Article pp 1-29. DOI: http://dx.doi.org/10.1017/nws.2013.6 http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=8960988
  3. Muchnik, Lev, Pei, S., Parra, L. C., Reis, S. D. S., Andrade, J. S., Havlin, S., Makse, H. A. H. A., et al. (2013). Origins of power-law degree distribution in the heterogeneity of human activity in social networks. Scientific Reports, 3, 23. Physics and Society; Statistical Mechanics. doi:10.1038/srep01783
  4. Zia, K., Farrahi, K., Sharpanskykh, A., Ferscha, A., & Muchnik, L. (2013). Parallel and Distributed Simulation of Large-Scale Cognitive Agents. In Y. Demazeau et al. (Ed.), Advances on Practical Applications of Agents and Multi-Agent Systems (pp. 324–328). Springer, Heidelberg. Retrieved from https://www.e-proof.sps.co.in/lncs/request.asp?file=bhbgjbbhjdce
  5. Farrahi, K., Zia, K., Sharpanskykh, A., Ferscha, A., & Muchnik, L. (2013). Agent Perception Modeling for Movement in Crowds. PAAMS 2013.
  6. Kämpf, M., Kantelhardt, J. W., & Muchnik, L. (2012). From Time Series to Co-Evolving Functional Networks: Dynamics of the Complex System “Wikipedia”. ECCS 2012. Retrieved from http://85.214.43.8/ECCS2012-paper-v6.pdf
  7. Kämpf, M., Tismer, S., Kantelhardt, J. W., & Muchnik, L. (2012). Fluctuations in Wikipedia access-rate and edit-event data. Physica A: Statistical Mechanics and its Applications, 391(23), 6101–6111. doi:10.1016/j.physa.2012.07.004
  8. Brot, H., Muchnik, L., Goldenberg, J., & Louzoun, Y. (2012). Feedback between node and network dynamics can produce real world network properties. Physica A: Statistical Mechanics and its Applications, null(null). Retrieved from http://dx.doi.org/10.1016/j.physa.2012.07.051
  9. Krawczyk, M. J., Muchnik, L., Mańka-Krasoń, A., & Kułakowski, K. (2011). Line graphs as social networks. Physica A: Statistical Mechanics and its Applications, 390(13), 2611–2618. doi:10.1016/j.physa.2011.03.009
  10. Gallos, L., Kitsak, M., Havlin, S., & Liljeros, F. (2011). Why hubs may not be the most efficient spreaders. Bulletin of the American Physical Society. Retrieved from http://meeting.aps.org/Meeting/MAR11/Event/144488
  11. Itzhack, R., Muchnik, L., Erez, T., Tsaban, L., Goldenberg, J., Solomon, S., & Louzoun, Y. (2010). Empirical extraction of mechanisms underlying real world network generation. Physica A: Statistical Mechanics and its Applications, 389(22), 5308–5318. doi:10.1016/j.physa.2010.07.011
  12. Kitsak, M., Gallos, L. K., Havlin, S., Liljeros, F., Muchnik, L., Stanley, H. E., & Makse, H. A. (2010). Identification of influential spreaders in complex networks. Nature Physics, 6(11), 888–893. doi:doi:10.1038/nphys1746
  13. Aral, S., Muchnik, L., & Sundararajan, A. (2009). Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks. PNAS, 106(51), 21544–21549. doi:10.1073/pnas.0908800106
  14. Muchnik, L, Bunde, A., & Havlin, S. (2009). Long term memory in extreme returns of financial time series. Physica A: Statistical Mechanics and its Applications, 388(19), Long term memory in extreme returns of financial t. doi:10.1016/j.physa.2009.05.046
  15. Muchnik, Lev, & Sorin Solomon. (2007). Markov Nets and the NetLab Platform: Application to Continuous Double Auction. Complexity Hints for Economic Policy (pp. 157–180). Milano: Springer Milan. doi:10.1007/978-88-470-0534-1
  16. Muchnik, L, Itzhack, R., Solomon, S., & Louzoun, Y. (2007). Self-emergence of knowledge trees: Extraction of the Wikipedia hierarchies. Physical Review E, 76(1), 016106. Retrieved from http://pre.aps.org/abstract/PRE/v76/i1/e016106
  17. Muchnik, L, Louzoun, Y., & Solomon, S. (2006). Agent Based Simulation Design Principles—Applications to Stock Market. In H. Takayasu (Ed.), Practical Fruits of Econophysics (pp. 183–188). Tokyo: Springer Tokyo. doi:10.1007/4-431-28915-1_33
  18. Louzoun, Y., Muchnik, L., & Solomon, S. (2006). Copying nodes versus editing links: the source of the difference between genetic regulatory networks and the WWW. Bioinformatics, 22(5), 581–588. doi:btk030 [pii] 10.1093/bioinformatics/btk030
  19. Yamasaki, K., Muchnik, L., Havlin, S., Bunde, A., & Stanley, H. E. (2006). Scaling and memory in return loss intervals: Application to risk estimation. In H. Takayasu (Ed.), Practical Fruits of Econophysics (pp. 43–51). Tokyo: Springer. doi:10.1007/4-431-28915-1_7
  20. Daniel, G., Muchnik, L., & Solomon, S. (2006). Traders Imprint Themselves by Adaptively Updating their Own Avatar. In M. Beckmann, H. P. Künzi, G. Fandel, W. Trockel, A. Basile, A. Drexl, H. Dawid, et al. (Eds.), Artificial Economics (Vol. 564, pp. 27–38). Berlin/Heidelberg: Springer-Verlag. doi:10.1007/3-540-28547-4
  21. Blank, A., Alexandrowicz, G., Muchnik, L., Tidhar, G., Schneiderman, J., Virmani, R., & Golan, E. (2005). Miniature self-contained intravascular magnetic resonance (IVMI) probe for clinical applications. Magn Reson Med, 54(1), 105–112. doi:10.1002/mrm.20537
  22. Yamasaki, K., Muchnik, L., Havlin, S., Bunde, A., & Stanley, H. E. (2005). Scaling and memory in volatility return intervals in financial markets. Proc Natl Acad Sci U S A, 102(26), 9424–9428. doi:0502613102 [pii] 10.1073/pnas.0502613102
  23. Schneiderman, J., Wilensky, R. L., Weiss, A., Samouha, E., Muchnik, L., Chen-Zion, M., Ilovitch, M., et al. (2005). Diagnosis of thin-cap fibroatheromas by a self-contained intravascular magnetic resonance imaging probe in ex vivo human aortas and in situ coronary arteries. J Am Coll Cardiol, 45(12), 1961–1969. doi:S0735-1097(05)00744-8 [pii] 10.1016/j.jacc.2004.09.080
  24. Muchnik, L, Slanina, F., & Solomon, S. (2003). The interacting gaps model: reconciling theoretical and numerical approaches to limit-order models. Physica A: Statistical Mechanics and its …, 330, 232–239. Retrieved from http://www.sciencedirect.com/science/article/pii/S0378437103007039
  25. Muchnik, L, & Solomon, S. (2003). Statistical mechanics of conventional traders may lead to non-conventional market behavior. Physica Scripta, 41(T106). Retrieved from http://iopscience.iop.org/1402-4896/2003/T106/010
  26. Shatner, M., Muchnik, L., Leshno, M., & Solomon, S. (2000). A continuous time asynchronous model of the stock market; beyond the LLS. Economic Dynamics from the Physics Point of View. Bad Honnef, Germany: Physikzentrum. Retrieved from http://arxiv.org/abs/cond-mat/0005430