Modeling for the Dynamics of Human Innovative Behaviors

TL;DR

This paper introduces a lattice model combining evolutionary games and information spreading to analyze the dynamics of human innovative behaviors, revealing slow diffusion, clustering, and universal temporal-spatial patterns.

Contribution

It presents a novel benefit-driven lattice model that captures key features of human innovation dynamics and emergent non-Poisson temporal-spatial patterns.

Findings

Slow diffusion of innovative behaviors

Clustering of innovative strategies on centers

Universal scaling laws and bimodal distributions in innovation spread

Abstract

How to promote the innovative activities is an important problem for modern society. In this paper, combining with the evolutionary games and information spreading, we propose a lattice model to investigate dynamics of human innovative behaviors based on benefit-driven assumption. Simulations show several properties in agreement with peoples' daily cognition on innovative behaviors, such as slow diffusion of innovative behaviors, gathering of innovative strategy on "innovative centers", and quasi-localized dynamics. Furthermore, our model also emerges rich non-Poisson properties in the temporal-spacial patterns of the innovative status, including the scaling law in the interval time of innovation releases and the bimodal distributions on the spreading range of innovations, which would be universal in human innovative behaviors. Our model provide a basic framework on the study of the issue relevant to the evolution of human innovative behaviors and the promotion measurement of innovative activities.