The Bass Diffusion Model on Finite Barabasi-Albert Networks by M. L. Bertotti, G. Modanese

“…Using a heterogeneous mean-field network formulation of the Bass innovation diffusion model and recent exact results on the degree correlations of Barabasi-Albert networks, we compute the times of the diffusion peak and compare them with those on scale-free networks which have the same scale-free exponent but different assortativity properties. …”
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A model of RD-IHSAT rumor dissemination based on coupling network by Yishi HAN, Yuxin XU, Tiantian LU

“…To explore the spread of rumors in social network, based on the principles of coupling network, the model of RD-IHSAT was established on Barabási-Albert (BA) scale free network and Watts-Strogatz (WS) small world network.The classic model of SIR was optimized, by combining it with three concerns, the interest decay, the social consensus and the spiral of silence effect, and adding four roles, hesitated, adherent, reticent and debunker.Results of numerical simulations are as follows: an information outbreak can be triggered by coupling network, not only the spreading speed but the scale as well; the dissemination can be markedly suppressed when the probability of rumor-refuting for the hesitated and spreaders arises; the chances of transition from spreaders to adherents drop; increasing the proportion of silent groups is a key part of curbing the spread of rumors; the control of the time lag in refuting rumors will greatly affect the effect of refuting rumors.…”
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From Net Topology to Synchronization in HR Neuron Grids by Stefano Cosenza, Paolo Crucitti, Luigi Fortuna, Mattia Frasca, Manuela La Rosa, Cecilia Stagni, Lisa Usai

“…In addition to the standardtopologies used in other studies, we introduce a new model thatgeneralizes the Barabási-Albert scale-free model, taking intoaccount the physical distance between nodes. …”
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Associated Credit Risk Contagion with Incubatory Period: A Network-Based Perspective by Kai Xu, Jianming Mo, Qian Qian, Fengying Zhang, Xiaofeng Xie, Zongfang Zhou

“…Secondly, from the perspective of complex network and considering the incubatory period, a SHIS model is built to reveal how the incubatory period influences associated credit risk contagion. …”
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