Towards distribution-based control of social networks

Liu Y-Y, Slotine J-J, Barabási A-L. Controllability of complex networks. Nature. 2011;473(7346):167–73.

Cowan NJ, Chastain EJ, Vilhena DA, Freudenberg JS, Bergstrom CT. Nodal dynamics, not degree distributions, determine the structural controllability of complex networks. PloS ONE. 2012;7(6):38398.

Runka A, White T. Towards intelligent control of influence diffusion in social networks. Soc Netw Anal Min. 2015;5(1):9.

Paraskevopoulos P. Modern control engineering. Boca Raton: CRC Press; 2001.

Lin CT. Structural controllability. IEEE Trans Autom Control. 1974;19(3):201–8.

Ruths J, Ruths D. Control profiles of complex networks. Science. 2014;343(6177):1373–6.

Yuan Z, Zhao C, Di Z, Wang W-X, Lai Y-C. Exact controllability of complex networks. Nat Commun. 2013;4:2447.

Zhao C, Wang W-X, Liu Y-Y, Slotine J-J. Intrinsic dynamics induce global symmetry in network controllability. Sci Rep. 2015;5:8422.

Runka A. On the control of opinion in social networks. Ph. D. Thesis, Carleton University, 2016.

Sutton R, Barto A. Reinforcement learning: an introduction. Cambridge: MIT Press; 1998.

Barabási A, Albert R. Emergence of scaling in random networks. Science. 1999;286(5439):509.

Watts D, Strogatz S. Collective dynamics of ‘small-world’ networks. Nature. 1998;393(6684):440–2.

Rummery GA, Niranjan M. On-line Q-learning using connectionist systems. Technical report, University of Cambridge, Department of Engineering, 1994.

Albus JS. A new approach to manipulator control: The cerebellar model articulation controller (CMAC). J Dyn Syst Meas Control. 1975;97(3):220–7.