The network control project deals with the Network Control Problem (NCP); a problem defined by this group. The NCP deals with 2 coupled subproblems: the selection of a set of control nodes within a complex network and the generation of control sequence signals in order to meet some control objective. Our work has been published in the SNAM and CSN journals and at the ASONAM and Social Computing conferences.
D. McKenney and T. White, “Selecting transfer entropy thresholds for influence network prediction,” Social Network Analysis and Mining, vol. 7, no. 1, p. 3:1–3:14, 2017.
D. McKenney and T. White, “Towards distribution-based control of social networks,” Computational Social Networks, vol. 5, no. 1, p. 3, Mar. 2018.
D. McKenney and T. White, “Observations on the role of influence in the difficulty of social network control,” in 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2016, pp. 1294–1301.
A. Runka and T. White, “Evolving Neurocontrollers for the Control of Information Diffusion in Social Networks,” in Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, Madrid, Spain, 2015, pp. 1471–1472.
D. McKenney and T. White, “Using Transfer Entropy for Influence Measurement and Network Prediction,” in SocialCom, ASE Eighth International Conference on Social Computing, 2015, pp. 1–14.
A. Runka and T. White, “Towards Intelligent Control of Influence Diffusion in Social Networks,” Social Network Analysis and Mining, vol. 5, Dec. 2015.