HCC: III: Small: Diffusion and Ranking in Social Media: A Computational Examination of the Role of Influence and Authority

该提案旨在研究社交媒体信息传播中的作者流动。与现有的宏观层面的方法相比，该建议采取了个人层面的方法来理解扩散和作者流动。本文从媒体形式、传播主题、信息效价等因素对信息传播和作者流的影响进行了研究。将使用初始分类法对可能随研究演变的媒体格式类型进行分类。在研究中将三种模型结合起来。 该数据集将用于大规模的博客和推文。 如果成功，该项目将有助于为理解数字媒体的传播和权威奠定理论基础。

The proposal aims at studying authorship flows in information diffusion in social media. The proposal takes an individual level approach to understanding diffusion and authorship flow as compared to existing macro level approaches. The proposed approach is to study the impact of factors such as the type of media format, the type of topics diffused and the valence of the information in information diffusion and authorship flow. An initial taxonomy will be used to classify the type of media format that may evolve with the study. Three models will be combined in the research. The dataset to be used large-scale blogs and tweets. If successful, the project can help to establish a theoretical foundation for understanding the diffusion and authority in digital media.