Social Norm Diffusion in Societies: Simple or Complex?
University of Padua（帕多瓦大学）；Institute of Cognitive Sciences and Technologies (ISTC), CNR（认知科学与技术研究所（ISTC），意大利国家研究委员会）；Collegio Carlo Alberto（卡洛阿尔贝托学院）；University College London（伦敦大学学院）；Universidad Carlos III de Madrid（马德里卡洛斯三世大学）；Institute for Futures Studies（未来研究所）
Social norms are a fundamental component of society, shaping how we communicate, cooperate, and avoid conflict. Despite their ubiquitous presence and profound influence on behaviour, questions remain about how they spread from person to person and whether they are adopted. Using an evolutionary game-theoretic model, we study whether simple or complex contagion processes characterise how social norms spread. Crucially, contagion type is endogenous and emerges from the model. We also vary cultural conformism, the cost of following a norm, and network topology to assess the generality of our results. We show that social norms in our model can spread through simple contagion when a new norm is low in cost and cultural conformism is low, while norms spread through complex contagion when the new norm is costly and cultural conformism is high.
Social Media Informatics for Sustainable Cities and Societies: An Overview of the Applications, associated Challenges, and Potential Solutions
Department of Artificial Intelligence, Ajou University Suwon South Korea；Munster Technological University Cork Ireland；Department of Electronics \& Communication Engineering, Mepco Schlenk Engineering College Sivakasi India；Department of Software；Computer Engineering, Ajou University Suwon South Korea , Department of Artificial Intelligence, Ajou University Suwon South Korea；Department of Artificial Intelligence, Ajou University；Munster Technological University；Department of Electronics \& Communication Engineering, Mepco Schlenk Engineering College；Computer Engineering, Ajou University
Balanced and fragmented phases in societies with homophily and social balance
最近试图理解社会分裂的起源是基于自旋模型，其中包括两种社会现象的术语：同质性-具有相似意见的人建立积极关系的趋势-和社会平衡-人们建立平衡的三元关系的趋势。自旋表示对个体的多个（二进制）意见进行编码的属性向量，个体之间的社交互动可以是积极的或消极的。最近的工作表明，N >> 1个个体的大型系统永远不会达到平衡状态（其中仍然存在具有一个或三个敌对链接的不平衡三元组），只要每个代理的属性数量小于O（N^2）[Phys. Rev. Lett. 125，078302]。在这里，我们表明，这种说法是过于限制。在一个汉密尔顿的框架，最大限度地减少个人的社会压力，我们表明，固定的，平衡的，但支离破碎的状态可以达到任何数量的属性，如果，除了同质性，个人考虑到一个显着的分数，q，他们的三元关系。在临界值q_c以上，产生平衡状态。这一结果也适用于稀疏的现实社交网络。最后，在小q的限制下，我们的结果与[Phys. Rev. Lett. 125，078302]。
Social Catalysts, Not Moral Agents: The Illusion of Alignment in LLM Societies
Institute of Neuroscience, Chinese Academy of Sciences（中国科学院神经科学研究所）；School of Philosophy, Anhui University（安徽大学哲学学院）；Department of Psychology and Behavioral Sciences, Zhejiang University（浙江大学心理学与行为科学系）；Mental Health Education Center, North China Electric Power University（华北电力大学心理健康教育中心）
Community structure of copper supply networks in the prehistoric Balkans: An independent evaluation of the archaeological record from the 7th to the 4th millennium BC
Social physics in the age of artificial intelligence
School of Computing, Engineering and Digital Technologies, Teesside University（计算、工程与数字技术学院，泰赛大学）；Google DeepMind（谷歌DeepMind）；Machine Learning Group, Université Libre de Bruxelles（机器学习组，布鲁塞尔自由大学）；AI Lab, Vrije Universiteit Brussel（人工智能实验室，布鲁塞尔自由大学）；Center for Human-Compatible AI, UC Berkeley（人类兼容人工智能中心，伯克利大学）；Max Planck Institute for Human Development, Center for Humans & Machines, Berlin（人类发展马克斯普朗克研究所，人类与机器中心，柏林）；Informatics Institute, University of Amsterdam（信息学院，阿姆斯特丹大学）；Faculty of Natural Sciences and Mathematics, University of Maribor（自然科学与数学学院，马里博大学）；Community Healthcare Center Dr. Adolf Drolc Maribor（阿多夫·德罗尔博士社区医疗中心，马里博）；Department of Physics, Kyung Hee University（物理系，庆熙大学）；University College, Korea University（大学学院，韩国大学）；University of Milan Biccoca（米兰Biccoca大学）
