LANET-VI

RBA corresponds to the Barab´si-Albert model.
considers growing networks according to the preferential attachment mechanism: each new node is connected to m already existing nodes chosen with a probability proportional to their starting degree. This network has 1000 nodes and varying m randomly between 1 and 10 (at each time step).
Colors are assigned according to the coreness: vertices with coreness 1 are violet, and the maximum coreness vertices are red, following the rainbow color scale. The node degree scale is also displayed, showing the maximum degree of the network.

Return <-

RBA_1000_color_black_bgn
RBA_1000_color_white_bgn
RBA_1000_gray_inter
RBA_1000_gray_one_sc



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