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[目的/意义]提取与分析特定事件背景下的网络关键信息,对于揭示网络信息诉求对线下衍生行为的影响具有重要意义,有助于把握信息传播过程中影响线下衍生行为的网络关键信息的核心诉求与规律。[方法/过程]以特定事件为背景,借助复杂网络理论和方法,提取网络信息中的关键信息并构建关键信息网络。进而采用中心性分析和凝聚子群分析方法,对网络关键信息进行了时间序列跟踪与剖析。[结果/结论]研究结果表明,特定事件背景下,关键信息具有时序性、核心性和关联性特征,并以此对线下衍生行为产生影响。关键信息表达的诉求随着事件发展不断地进化;高点度中心度的节点表达了网络关键信息的核心诉求;派系则能够揭示网络关键信息核心诉求的关联途径。[局限]研究中对于网民的用户认知、群体扰动等因素还缺少更加全面的考察,有待于在未来的研究中进一步深入研究。
[Purpose / Significance] Extracting and analyzing key network information in the context of specific events is of great significance for revealing the impact of online information appeals on offline derivative behavior, which helps to grasp the key information of the network that affects offline derivative behaviors in the process of information dissemination The core demands and laws. [Method / Process] With the specific event as the background, with the aid of complex network theory and method, the key information in network information is extracted and the key information network is constructed. Then the central analysis and cohesion subgroup analysis method are used to track and analyze the key information of the network in time series. [Results / Conclusions] The results show that in the context of specific events, key information has the characteristics of timing, core and relevance, and thus affect offline derivative behavior. As the events evolve, the appeals of key information evolve continuously. The nodes with high degrees of centrality express the core demands of key information of the network. The factions can reveal the correlative ways of the key demands of the key information of the network. [Limitations] There is still a lack of more comprehensive investigation of Internet users’ user awareness and group disturbance in the study, which needs to be further studied in future research.