@InProceedings{marinho-EtAl:2017:TextGraphs-11,
  author    = {Marinho, Vanessa Queiroz  and  de Arruda, Henrique Ferraz  and  Sinelli, Thales  and  Costa, Luciano da Fontoura  and  Amancio, Diego Raphael},
  title     = {On the "Calligraphy" of Books},
  booktitle = {Proceedings of TextGraphs-11: the Workshop on Graph-based Methods for Natural Language Processing},
  month     = {August},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {1--10},
  abstract  = {Authorship attribution is a natural language processing task that has been
	widely studied, often by considering small order statistics. In this paper, we
	explore a complex network approach to assign the authorship of texts based on
	their mesoscopic representation, in an attempt to capture the flow of the
	narrative.  Indeed, as reported in this work, such an approach allowed the
	identification of the dominant narrative structure of the studied authors.  
	This has been achieved due to the ability of the mesoscopic approach to take
	into account relationships between different, not necessarily adjacent, parts
	of the text, which is able to capture the story flow. The potential of the
	proposed approach has been illustrated through principal component analysis, a
	comparison with the chance baseline method, and network visualization. Such
	visualizations reveal individual characteristics of the authors, which can be
	understood as a kind of calligraphy.},
  url       = {http://www.aclweb.org/anthology/W17-2401}
}