标题： 修改的 Axelrod 模型在真实无标度网络中展示意见收敛和极化现象 显示英文标题

标题： Modified Axelrod Model Showing Opinion Convergence And Polarization In Realistic Scale-Free Networks

摘要： 阿克塞尔罗德模型是一种意见动力学模型，其中二维网格上的每个代理都有有限数量的可能意见。由于所有代理最终会在每个问题上共享相同的意见，因此该模型并不现实。在这里，我们识别了阿克塞尔罗德模型中存在的某些局限性，并通过修改模型的一些规则来解决这些问题。具体而言，通过考虑无标度网络中的代理并引入更现实的交互规则，使用连续值表示代理的意见，我们的改进模型提供了对意见动力学的更全面探索。我们模型的计算机模拟显示，在大多数合理的仿真参数下，所有特征上的意见极化趋势显著。为了缓解这种极化现象，我们引入了积极减少意见差异的代理。然而，我们的研究结果显示这种方法的成功是有限的。本研究有助于理解社会中的意见动力学，并强调了在考虑网络结构和连续意见值等因素时出现的微妙复杂性。我们的研究结果促使进一步探索，并为未来研究有效减少意见极化的途径开辟了道路。 显示英文摘要

摘要： Axelrod model is an opinion dynamics model such that each agent on a two-dimensional lattice has a finite number of possible opinions. The model is not realistic as all agents will eventually share the same opinion on every issue. Here we identify certain limitations inherent in the Axelrod model and address them by modifying some of the model's rules. Specifically, by considering agents in a scale-free network and incorporating a more realistic interaction rule with continuous values representing agents' opinions, our modified model offers a more comprehensive exploration of opinion dynamics. Computer simulation of our model shows a notable trend in opinion polarization on all features in the majority of reasonable simulation parameters. To mitigate this polarization, we introduce agents that work actively to reduce opinion differences. However, our findings indicate limited success in the approach. This research contributes to the understanding of opinion dynamics within society and highlights the nuanced complexities that arise when considering factors such as network structure and continuous opinion values. Our results prompt further exploration and open avenues for future investigations into effective methods of reducing opinion polarization.