Paper: Extracting Social Networks from Literary Fiction

ACL ID P10-1015
Title Extracting Social Networks from Literary Fiction
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2010

We present a method for extracting so- cial networks from literature, namely, nineteenth-century British novels and se- rials. We derive the networks from di- alogue interactions, and thus our method depends on the ability to determine when two characters are in conversation. Our approach involves character name chunk- ing, quoted speech attribution and conver- sation detection given the set of quotes. We extract features from the social net- works and examine their correlation with one another, as well as with metadata such as the novel’s setting. Our results provide evidence that the majority of novels in this timeperioddonotfittwocharacterizations provided by literacy scholars. Instead, our results suggest an alternative explanation for differences in social networks.