影响线下衍生行为的网络关键信息分析

Analysis on the Network Key Information Influencing Offline Derived Behavior

[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] This paper extracts and analyzes network key information of a specific event, which is of great significance to reveal the impact of network information appeal on offline derived behaviors, and helps to find the core demands and patterns of network key information which influences offline derived behaviors in the network information dissemination. Taking particular events as the background, with complex network theories and methods, the article extracts the key information from network and builds key information networks. Then, the key information has been tracked by time series and analyzed by centrality and cohesive subgroups analysis. [ Result/conclusion ] Results show that, under the background of a particular event, key information has time-sequential, core and associated features. These features have an impact on the offline derived behaviors. The appeals expressed by key information continue to evolve in the event progress. High degree nodes present the core appeals of network key information. Cliques are able to reveal the relevant approaches to achieve core appeals of network key information. [ Limitations ] Factors such as cognition of network users and disturbance of groups still lack a more comprehensive study, so more extensive and profound researches should be done in the future.