Dimension Reduction of Collective Attention Networks

Author:

Ji Boyun1,Zhu Qunxi2ORCID,Lin Wei1234

Affiliation:

1. School of Mathematical Sciences, SCMS, SCAM, and CCSB, Fudan University, Shanghai 200433, P. R. China

2. Research Institute of Intelligent Complex Systems, Fudan University, Shanghai 200433, P. R. China

3. MOE Frontiers Center for Brain Science and State Key, Laboratory of Medical Neurobiology, Fudan University, Shanghai 200032, P. R. China

4. Shanghai Artificial Intelligence Laboratory, Shanghai 200232, P. R. China

Abstract

Recently, the dynamics of the collective attention of various cultural products are typically modeled by mathematical models. In this article, we propose a simple collective attention model for capturing the dynamics of coupled cultural products, which is represented by a complex dynamical network. In particular, the coupling mechanism of the model involves one of the cooperative, exploitative competitive, and appropriative terms. To facilitate the analysis of the higher-dimensional complex dynamical network, we employ and extend the existing dynamical dimension reduction techniques to reduce the network to a simplified lower-dimensional version. It can then be used to describe the collective dynamics of the original system, such as the emergency of the bifurcation of the collective attention received by cultural products. We test the dimension reduction techniques on several collective attention dynamical networks. Our results indicate that articulating the complex dynamical models as well as their advanced theories and tools may open up a new avenue for the dynamics study of collective attention.

Funder

Shanghai Postdoctoral Excellence Program

Science and Technology Commission of Shanghai Municipality

Postdoctoral Research Foundation of China

National Natural Science Foundation of China

Publisher

World Scientific Pub Co Pte Ltd

Subject

Applied Mathematics,Modeling and Simulation,Engineering (miscellaneous)

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