We study temporal networks of characters in literature focussing on Alice's Adventures in Wonderland (1865) by Lewis Carroll and the anonymous La Chanson de Roland (around 1100). The former, one of the most influential pieces of nonsense literature ever written, describes the adventures of Alice in a fantasy world with logic plays interspersed along the narrative. The latter, a song of heroic deeds, depicts the Battle of Roncevaux in 778 A.D. during Charlemagne's campaign on the Iberian Peninsula. We apply methods recently developed by Taylor et al. [Taylor, D., Myers, S. A., Clauset, A., Porter, M. A. and Mucha, P. J., Eigenvector-based centrality measures for temporal networks, CoRR (2015).] to find time-averaged eigenvector centralities, Freeman indices and vitalities of characters. We show that temporal networks are more appropriate than static ones for studying stories, as they capture features that the time-independent approaches fail to yield.
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机译：我们以路易斯·卡罗尔（Lewis Carroll）和匿名的香颂·德·罗兰（La Chanson de Roland）（1100年左右）的爱丽丝历险记（1865）为题材，研究文学中的人物时空网络。前者是有史以来最有影响力的废话文学作品之一，用逻辑性的故事散布在叙事中，描述了爱丽丝在幻想世界中的冒险经历。后者是一首英勇事迹的歌，描绘了查理曼大帝在伊比利亚半岛的战役期间公元778年的朗塞沃之战。我们应用泰勒等人最近开发的方法。 [Taylor，D.，Myers，SA，Clauset，A.，Porter，MA和Mucha，PJ，基于特征向量的时间网络中心度度量，CoRR（2015）。]查找时间平均特征向量中心度，Freeman指数和生命力字符。我们表明，时态网络比静态网络更适合用于研究故事，因为它们捕获了与时间无关的方法无法产生的特征。
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