We propose a new self-organizing algorithm for a feedforward network inspired to an electrostatic problem that turns out to have intimate relations with information maximization.

Since the surge of the popularity of social network, recently, there has been a tremendous wave of interest in the investigation of influence maximization problem. Given a social network structure, the problem of influence maximization is to determine a minimum set of nodes that could maximize the spread of influences. Nowadays, due to the dramatic size growing of social network, the efficiency...

Queueing theory has provided the basis for remarkable successes in the performance modeling and analysis of computer systems.6,19,21 Because it is clear that computer systems do not satisfy assumptions made by the stochastic process models that are used, this success has been somewhat puzzling; it appears that queueing theory equations have wider applicability than is suggested by their classic...