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Analysis of Social Network Dynamics with Models from the Theory of Complex Adaptive Systems

机译:基于复杂自适应系统理论的社会网络动力学模型分析

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The understanding and modeling of social dynamics in a complex and unpredictable world, emerges as a research target of particular importance. Success in this direction can yield valuable knowledge as to how social phenomena form and evolve in varying socioeconomic contexts comprising economic crises, societal disasters, cultural differences and security threats among others. The study of social dynamics occurring in the aforementioned contexts with the methodological tools originating from the complexity theory, is the research approach we propose in this paper. Furthermore, considering the fact that online social media serve as platforms of individual expression and public dialogue, we anticipate that their study as complex adaptive systems, will significantly contribute to understanding, predicting and monitoring social phenomena taking place on both online and offline social networks.
机译:在一个复杂而又不可预测的世界中,对社会动力的理解和建模成为特别重要的研究目标。在这个方向上的成功可以产生关于社会现象如何在各种社会经济环境中形成和发展的宝贵知识,包括经济危机,社会灾难,文化差异和安全威胁等。本文提出的研究方法是利用复杂性理论衍生的方法论工具研究在上述情况下发生的社会动力学。此外,考虑到在线社交媒体充当个人表达和公众对话的平台这一事实,我们预计他们作为复杂的自适应系统的研究将大大有助于理解,预测和监控在线和离线社交网络上发生的社交现象。

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