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Character networks and book genre classification

机译:字符网络和书籍类型分类

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摘要

We compared the social character networks of biographical, legendary and fictional texts in search for marks of genre differentiation. We examined the degree distribution of character appearance and found a power-law-like distribution that does not depend on the literary genre. We also analyzed local and global complex network measures, in particular, correlation plots between the recently introduced Lobby index and degree, betweenness and closeness centralities. Assortativity plots, which previous literature claims to separate fictional from real social networks, were also studied. We found no relevant differences among genres for the books studied when applying these network measures and we provide an explanation why the previous assortativity result is not correct.
机译:我们比较了传记,传奇和虚构文本的社会角色网络,以寻找流派分化的标记。 我们检查了性格外观的程度分布,发现了一种不依赖于文学类型的权力法的分布。 我们还分析了本地和全球复杂的网络措施,特别是最近引入的大厅指数和程度,之间的相关地块,之间的相关地块。 还研究了以前的文献声称,从真正的社交网络分开虚构的文献的差异图。 我们发现在应用这些网络措施时研究的书籍的类型没有相关差异,我们提供了一个解释,为什么先前的assortity结果不正确。

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