在当前的大数据时代,网络信息传播技术的快速发展极大地改变了舆论传播的模式和特点。用户影响力作为一个重要因素,在网络舆论传播过程中扮演着至关重要的角色。结合网络信息传播技术来研究用户影响力对舆论传播的影响,不仅可以更好地...在当前的大数据时代,网络信息传播技术的快速发展极大地改变了舆论传播的模式和特点。用户影响力作为一个重要因素,在网络舆论传播过程中扮演着至关重要的角色。结合网络信息传播技术来研究用户影响力对舆论传播的影响,不仅可以更好地理解舆论传播的机制,还能为舆论管理提供有效的工具。在考虑用户影响力的基础上,结合实际情况研究网络舆论传播(L-SIR模型和L-SIIqR模型)以反映不同群体的传播特征,并分析模型的基本再生数和平衡点,讨论相关参数对舆论传播的影响。研究结果表明:高影响力用户层与低影响力用户层存在双向影响;层间信息影响力对谣言信息存在正面影响而对辟谣信息存在负面影响;低影响力用户层相较于高影响力用户层更依靠兴趣强弱传播信息。In the current era of big data, the rapid development of network information dissemination technology has greatly changed the mode and characteristics of public opinion dissemination. As an important factor, user influence plays a vital role in the process of network public opinion dissemination. Combining network information dissemination technology to study the impact of user influence on public opinion dissemination can not only better understand the mechanism of public opinion dissemination, but also provide effective tools for public opinion management. On the basis of considering user influence, combined with actual conditions, network public opinion dissemination (L-SIR model and L-SIIqR model) is studied to reflect the dissemination characteristics of different groups, and the basic reproduction number and equilibrium point of the model are analyzed, and the impact of relevant parameters on public opinion dissemination is discussed. The research results show that there is a two-way influence between the high-influence user layer and the low-influence user layer;the inter-layer information influence has a positive impact on rumor information and a negative impact on rumor-refuting information;the low-influence user layer relies more on the strength of interest to spread information than the high-influence user layer.展开更多
文摘在当前的大数据时代,网络信息传播技术的快速发展极大地改变了舆论传播的模式和特点。用户影响力作为一个重要因素,在网络舆论传播过程中扮演着至关重要的角色。结合网络信息传播技术来研究用户影响力对舆论传播的影响,不仅可以更好地理解舆论传播的机制,还能为舆论管理提供有效的工具。在考虑用户影响力的基础上,结合实际情况研究网络舆论传播(L-SIR模型和L-SIIqR模型)以反映不同群体的传播特征,并分析模型的基本再生数和平衡点,讨论相关参数对舆论传播的影响。研究结果表明:高影响力用户层与低影响力用户层存在双向影响;层间信息影响力对谣言信息存在正面影响而对辟谣信息存在负面影响;低影响力用户层相较于高影响力用户层更依靠兴趣强弱传播信息。In the current era of big data, the rapid development of network information dissemination technology has greatly changed the mode and characteristics of public opinion dissemination. As an important factor, user influence plays a vital role in the process of network public opinion dissemination. Combining network information dissemination technology to study the impact of user influence on public opinion dissemination can not only better understand the mechanism of public opinion dissemination, but also provide effective tools for public opinion management. On the basis of considering user influence, combined with actual conditions, network public opinion dissemination (L-SIR model and L-SIIqR model) is studied to reflect the dissemination characteristics of different groups, and the basic reproduction number and equilibrium point of the model are analyzed, and the impact of relevant parameters on public opinion dissemination is discussed. The research results show that there is a two-way influence between the high-influence user layer and the low-influence user layer;the inter-layer information influence has a positive impact on rumor information and a negative impact on rumor-refuting information;the low-influence user layer relies more on the strength of interest to spread information than the high-influence user layer.
