Fernández-Rosales Iván Y, Liebovitch Larry S, Guzmán-Vargas Lev
Departamento de Física, Escuela Superior de Física y Matemáticas, Instituto Politécnico Nacional, México DF, México.
Department of Physics, Queens College, City University of New York, Flushing, NY, USA; Adjunct Senior Research Scholar, Advanced Consortium on Cooperation, Conflict, and Complexity (AC4), Earth Institute, Columbia University, New York, NY, USA.
PLoS One. 2015 Apr 30;10(4):e0126234. doi: 10.1371/journal.pone.0126234. eCollection 2015.
We present a study of the social dynamics among cooperative and competitive actors interacting on a complex network that has a small-world topology. In this model, the state of each actor depends on its previous state in time, its inertia to change, and the influence of its neighboring actors. Using numerical simulations, we determine how the distribution of final states of the actors and measures of the distances between the values of the actors at local and global levels, depend on the number of cooperative to competitive actors and the connectivity of the actors in the network. We find that similar numbers of cooperative and competitive actors yield the lowest values for the local and global measures of the distances between the values of the actors. On the other hand, when the number of either cooperative or competitive actors dominate the system, then the divergence is largest between the values of the actors. Our findings make new testable predictions on how the dynamics of a conflict depends on the strategies chosen by groups of actors and also have implications for the evolution of behaviors.
我们展示了一项关于在具有小世界拓扑结构的复杂网络上相互作用的合作与竞争参与者之间社会动态的研究。在这个模型中，每个参与者的状态取决于其过去的状态、改变的惯性以及相邻参与者的影响。通过数值模拟，我们确定参与者最终状态的分布以及局部和全局层面参与者值之间距离的度量如何取决于合作与竞争参与者的数量以及网络中参与者的连通性。我们发现，数量相近的合作与竞争参与者会使参与者值之间局部和全局距离度量达到最低值。另一方面，当合作或竞争参与者的数量在系统中占主导时，参与者值之间的差异最大。我们的研究结果对冲突动态如何取决于参与者群体所选择的策略做出了新的可检验预测，并且对行为的演变也具有启示意义。
