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Filters: Author is Pedro G. Lind  [Clear All Filters]
2022
D. T. Schroeder, J. Langguth, L. Burchard, K. Pogorelov and P. G. Lind. "The connectivity network underlying the German’s Twittersphere: a testbed for investigating information spreading phenomenaAbstract." Scientific Reports 12359446601067820168710212961217895, no. 1 (2022).PDF icon s41598-022-07961-3.pdf (1.61 MB)
2020
S. Pontes-Filho, P. Lind, A. Yazidi, J. Zhang, H. L. Hammer, G. B. M. Mello, I. Sandvig, G. Tufte and S. Nichele. EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality In International Conference on the Applications of Evolutionary Computation (Part of EvoStar). Cham: Springer, 2020.
D. T. Schroeder, P. Lind, K. Pogorelov and J. Langguth. A Framework for Interaction-based Propagation Analysis in Online Social Networks. Complex Networks, 2020.
D. T. Schroeder, P. Lind, K. Pogorelov and J. Langguth. A Framework for Interaction-based Propagation Analysis in Online Social Networks In Complex Networks. Springer, 2020.
S. Pontes-Filho, P. Lind, A. Yazidi, J. Zhang, H. L. Hammer, G. B. M. Mello, I. Sandvig, G. Tufte and S. Nichele. "A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticality." Cognitive Neurodynamics 14 (2020): 1-18.