Summary

Proceedings of the 2013 International Symposium on Nonlinear Theory and its Applications

2013

Session Number:B3L-A

Session:

Number:298

Analysis on Information Diffusion of a Mathematical Model with Dynamical Sending Probability

Akiyoshi Tanaka,  Yutaka Shimada,  Kantaro Fujiwara,  Tohru Ikeguchi,  

pp.298-301

Publication Date:

Online ISSN:2188-5079

DOI:10.15248/proc.2.298

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Summary:
Various kinds of information diffuse across networks in the real world. We have already proposed a mathematical model that realizes the effects of dynamical sending probability on the information diffusion including two specific diffusion dynamics. In this paper, we propose a new model based on the neural mechanism: when a node's interest for messages is higher than its intrinsic threshold value, the node sends messages to its neighbors. We found that the new model shows similar behavior to the former model, but the dynamics of the diffusion is much more closely related to that of the interest.

References:

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[3] D. Centola, Science, 329, 1194-1197, 2010.

[4] A. Tanaka, et al., Proc. of NOLTA2012, 57-60, 2012.