An agent-based model is proposed for analyzing the dynamics that arise from interactions within social networks, analyzing the individual behavior of each profile. Said model considers a simplified construction of a social network while satisfying properties attributed to this type of systems. For that matter, previously established studies on the matter are taken into account, while including each profiles preferences, and how they evolve with time, for the system's dynamic behavior. Results are analyzed based on concepts like the emergence of clusters, the polarization of the network and the homogeneity of preferences between connected profiles; and how they may depend on the characteristics of the profiles and of the network.
The Concept of Semantic Value in Social Network Analysis: an Application to Comparative Mythology
Departamento de Estadistica, Informatica y Matematicas, Universidad Publica de Navarra(纳瓦拉公立大学统计、信息与数学系);Dept. of Computer Science and Artificial Intelligence, Andalusian Research Institute “Data Science and Computational Intelligence” (DaSCI), University of Granada(格拉纳达大学计算机科学与人工智能系、安达卢西亚“数据科学与计算智能”研究所(DaSCI));Institute of Smart Cities, Universidad Publica de Navarra(纳瓦拉公立大学智慧城市研究所);Laboratory Navarrabiomed, Hospital Complex of Navarre (CHN), Universidad Publica de Navarra(纳瓦拉公立大学纳瓦拉生物医学实验室、纳瓦拉综合医院(CHN));IdiSNA, Irunlarrea 3. 31008, Pamplona, Spain(伊伦拉雷亚3号、31008,潘普洛纳(注:IdiSNA是纳瓦拉公立大学下属研究机构,此处按机构含义直译))
Modeling Earth-Scale Human-Like Societies with One Billion Agents
University of Science and Technology of China(中国科学技术大学);Zhongguancun Academy(中关村学院);Zhongguancun Institute of Artificial Intelligence(中关村人工智能研究院);Shenzhen University(深圳大学);Shanghai University of Finance and Economics(上海财经大学);Tsinghua University(清华大学);Fudan University(复旦大学)