Dataset Groups Activity Stream Generalized Largest Reduction in Infectious Edges (gLRIE) strategy The dataset used in the paper is a generic two-states Markovian process, where each node can be in either the susceptible or the infected state. BibTex: @dataset{Argyris_Kalogeratos_and_Stefano_Sarao_Mannelli_2024, abstract = {The dataset used in the paper is a generic two-states Markovian process, where each node can be in either the susceptible or the infected state.}, author = {Argyris Kalogeratos and Stefano Sarao Mannelli}, doi = {10.57702/wsxephpv}, institution = {No Organization}, keyword = {'SIS-like epidemic processes', 'counter-contagion', 'diffusion processes'}, month = {dec}, publisher = {TIB}, title = {Generalized Largest Reduction in Infectious Edges (gLRIE) strategy}, url = {https://service.tib.eu/ldmservice/dataset/generalized-largest-reduction-in-infectious-edges--glrie--strategy}, year = {2024} }
