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Abstract
The local trend imitation(LTI) feature behavior has been deeply studied on specific complex networks, but it still needs to be explored in more scenarios. In fact, the multiple networks with individual limited contact feature is more in line with the real scenario. On the multiple limited networks, a novel model is proposed to investigate the effects of individual contact capacity heterogeneity. Then,information propagation mechanism is then measured and examined using a developed partition theory. The experimental results show crossover occurrences of phase transition. In the new network model, the final spreading scope exhibits a second-order continuous growth when individuals display a positive LTI behavior. Individuals have a passive LTI behavior, however, the final spreading scope exhibits a first-order discontinuous growth. Besides, a greatest ultimate spreading size appears at an ideal LTI parameter with the unit spreading probability changing. Additionally, individual contact capacity heterogeneity changes the rate of information spreading and the global adoption pattern. Eventually the outcomes of the theoretic analysis match those of the simulations.
Published Version
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