论文标题

测量文学社交网络中的信息传播

Measuring Information Propagation in Literary Social Networks

论文作者

Sims, Matthew, Bamman, David

论文摘要

我们介绍了在文献中建模信息传播的任务,我们试图确定从字符A到角色B到角色C的信息部分,仅鉴于对其文本活动的描述。我们描述了一条新的管道,用于测量该域中的信息传播,并发布一个用于说话者归因的新数据集,从而使该管道的重要组成部分评估比以前所研究的更广泛的文学文本。使用此管道,我们分析了5,000多种小说作品中信息传播的动态,发现信息通过填充连接不同社区的结构孔的字符流动,而女性角色被描绘成比男人的角色更频繁地填补这一角色。

We present the task of modeling information propagation in literature, in which we seek to identify pieces of information passing from character A to character B to character C, only given a description of their activity in text. We describe a new pipeline for measuring information propagation in this domain and publish a new dataset for speaker attribution, enabling the evaluation of an important component of this pipeline on a wider range of literary texts than previously studied. Using this pipeline, we analyze the dynamics of information propagation in over 5,000 works of fiction, finding that information flows through characters that fill structural holes connecting different communities, and that characters who are women are depicted as filling this role much more frequently than characters who are men.

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