基于情感链接的在线聊天网络的结构和稳定性
Structure and stability of online chat networks built on emotion-carrying links
摘要：
为了量化用户的集体行为，将在线聊天的高分辨率数据作为一个物理系统在实验室进行研究。我们的分析揭示了强大的自然系统的特性与其他功能。特别是，我们发现自组织动态与长期的相关性，在用户的行动和持久的关联，用户之间的社会网络的属性。此外，具有特定k-核结构的图及其架构的演化被示出与交换的消息的类型和情感唤醒有关。通过删除携带高唤醒信息的链接来划分图，在渗透阈值处表现出临界波动。
英文摘要：
High-resolution data of online chats are studied as a physical system in laboratory in order to quantify collective behavior of users. Our analysis reveals strong regularities characteristic to natural systems with additional features. In particular, we find self-organized dynamics with long-range correlations in user actions and persistent associations among users that have the properties of a social network. Furthermore, the evolution of the graph and its architecture with specific k-core structure are shown to be related with the type and the emotion arousal of exchanged messages. Partitioning of the graph by deletion of the links which carry high arousal messages exhibits critical fluctuations at the percolation threshold.
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