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Studying the viral growth of a connective action network using information event signatures

机译：使用信息事件签名研究结缔行动网络的病毒式增长

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The Arab spring and Occupy Wall Street movements demonstrated that networks of individuals who share interests or grievances could quickly form on social media. There is a reciprocal relationship between the growth of these networks and the information that flows through them. This study examines this relationship by using viral information event signatures, which show the changing rate of sharing of a specific message over a period of time. The Occupy movement and the digital interactions of its participants provides a context and rich corpus of data from which to study the relationship between the signatures of information flows and the growth the Occupy network. Using exploratory data analysis and multivariate regression to analyze Occupy related tweets drawn from a corpus of over 64 million tweets, this study first provides a parameterized signature model and then uses regression to show that a relationship exists between the shape of the signature and the rate at which key actors gain followers. This work also finds a quadratic decline, over the life cycle of the movement, in the rate at which the actors gain followers. The contributions of this work include the parameterized signature model, a demonstration of its usefulness, and a new perspective on the growth of the Occupy movement.
机译：阿拉伯之春和占领华尔街运动表明，有共同利益或不满的个人网络可以很快在社交媒体上形成。这些网络的增长与流经它们的信息之间存在相互关系。这项研究使用病毒信息事件签名检查了这种关系，该签名显示了一段时间内特定消息共享的变化率。占领运动及其参与者的数字交互提供了上下文和丰富的数据集，从中可以研究信息流的签名与占领网络的增长之间的关系。本研究使用探索性数据分析和多元回归分析来分析从超过6400万条推文的语料库中提取的与占用相关的推文，该研究首先提供了参数化的签名模型，然后使用回归表明签名的形状和速率之间存在关系。哪些关键角色赢得了关注者。这项工作还发现，在运动的整个生命周期中，演员获得追随者的比率呈二次方下降。这项工作的贡献包括参数化签名模型，其实用性的展示以及对占领运动发展的新视角。

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