Wang Yan, Yang Mo, Wang Chuanbiao, Xu Xiaoke, Liu Ming, Miao Chunzhang
State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing, 100024, China.
School of Data Science and Media Intelligence, Communication University of China, Beijing, 100024, China.
Sci Rep. 2024 Dec 28;14(1):30766. doi: 10.1038/s41598-024-80998-8.
The proliferation of multi-platform network information has expanded communication channels for users, enabling the integration and dissemination of information across both Social Networking Services (SNS)-type app and Instant Message (IM)-type app. With the intensification of convergent communication, some users in the two types of apps show active alternation in spreading information to each other's platforms. The study of the evolution trend of information in different platforms is of great practical significance for the mastery of the communication law. This study synthesizes the following three points: (1) The information in SNS-type app diffuses from key nodes with more followers to ordinary nodes, showing the characteristics of heterogeneous network with radial and explosive propagation. (2) The information in IM-type app mainly depends on the "relationship chain" diffusion, showing the characteristics of homogeneous network with gradual and multi-cluster propagation. (3) SNS-type apps and IM-type apps with some users showing coupled propagation characteristics. Therefore, this study constructs the heterogeneous-homogeneous asymmetric coupling two-layer network information propagation dynamics model. The propagation threshold R0 and the stability of the model are derived theoretically. Real network data sets are used to simulate the platform fusion. Numerical simulations confirm the rationality of the propagation threshold and perform changes analyses of parameters, such as the degree of cross-circulation of platforms, users' tendency of multi-platform expression, and changes in users' behaviors towards information dissemination. Simulation results reveal that promoting platform integration can improve communication efficiency in the real world. Dual-platform communication by IM-platform spreaders substantially contributes to the growth in the number of SNS-platform spreaders. The higher the level of disinterest in dual-platform spreaders, the more likely it is to inhibit the growth of spreaders and removers, with IM-type app demonstrating more pronounced effects.
多平台网络信息的激增拓宽了用户的通信渠道，实现了跨社交网络服务（SNS）类应用程序和即时通讯（IM）类应用程序的信息整合与传播。随着融合通信的加剧，这两类应用程序中的一些用户在向彼此平台传播信息时表现出活跃的交替行为。研究不同平台中信息的演变趋势对于掌握通信规律具有重要的现实意义。本研究综合了以下三点：（1）SNS类应用程序中的信息从关注者较多的关键节点扩散到普通节点，呈现出具有径向和爆发性传播的异质网络特征。（2）IM类应用程序中的信息主要依赖“关系链”扩散，呈现出具有渐进和多簇传播的同质网络特征。（3）SNS类应用程序和IM类应用程序中部分用户呈现耦合传播特征。因此，本研究构建了异质 - 同质非对称耦合两层网络信息传播动力学模型。从理论上推导了传播阈值R0和模型的稳定性。利用真实网络数据集对平台融合进行模拟。数值模拟验证了传播阈值的合理性，并对平台交叉流通程度、用户多平台表达倾向以及用户信息传播行为变化等参数进行了变化分析。模拟结果表明，促进平台融合可以提高现实世界中的通信效率。IM平台传播者的双平台通信对SNS平台传播者数量的增长有显著贡献。对双平台传播者的冷漠程度越高，越有可能抑制传播者和移除者的增长，其中IM类应用程序的影响更为明显。
