Constructing Social Networks from Literary Fiction

Jong-kyu SEO; Sung-hwan KIM; Hwan-gue CHO

doi:10.1587/transinf.E97.D.2046

Constructing Social Networks from Literary Fiction

Jong-kyu SEO, Sung-hwan KIM, Hwan-gue CHO

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A social network is a useful model for identifying hidden structures and meaningful knowledge among social atoms, which have complicated interactions. In recent years, most studies have focused on the real data of the social space such as emails, tweets, and human communities. In this paper, we construct a social network from literary fiction by mapping characters to vertices and their relationship strengths to edges. The main contribution of this paper is that our model can be exploited to reveal the deep structures of fiction novels by using graph theoretic concepts, without the involvement of any manual work. Experimental evaluation showed that our model successfully classified fictional characters in terms of their importance to the plot of a novel.

Publication: IEICE TRANSACTIONS on Information Vol.E97-D No.8 pp.2046-2047

Publication Date: 2014/08/01

Publicized

Online ISSN: 1745-1361

DOI: 10.1587/transinf.E97.D.2046

Type of Manuscript: Special Section LETTER (Special Section on Cyberworlds)

Category: Social Networks

Authors

Jong-kyu SEO
  Pusan National University
Sung-hwan KIM
  Pusan National University
Hwan-gue CHO
  Pusan National University

Keyword

social network, text analysis

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Jong-kyu SEO, Sung-hwan KIM, Hwan-gue CHO, "Constructing Social Networks from Literary Fiction" in IEICE TRANSACTIONS on Information, vol. E97-D, no. 8, pp. 2046-2047, August 2014, doi: 10.1587/transinf.E97.D.2046.
Abstract: A social network is a useful model for identifying hidden structures and meaningful knowledge among social atoms, which have complicated interactions. In recent years, most studies have focused on the real data of the social space such as emails, tweets, and human communities. In this paper, we construct a social network from literary fiction by mapping characters to vertices and their relationship strengths to edges. The main contribution of this paper is that our model can be exploited to reveal the deep structures of fiction novels by using graph theoretic concepts, without the involvement of any manual work. Experimental evaluation showed that our model successfully classified fictional characters in terms of their importance to the plot of a novel.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E97.D.2046/_p

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@ARTICLE{e97-d_8_2046,
author={Jong-kyu SEO, Sung-hwan KIM, Hwan-gue CHO, },
journal={IEICE TRANSACTIONS on Information},
title={Constructing Social Networks from Literary Fiction},
year={2014},
volume={E97-D},
number={8},
pages={2046-2047},
abstract={A social network is a useful model for identifying hidden structures and meaningful knowledge among social atoms, which have complicated interactions. In recent years, most studies have focused on the real data of the social space such as emails, tweets, and human communities. In this paper, we construct a social network from literary fiction by mapping characters to vertices and their relationship strengths to edges. The main contribution of this paper is that our model can be exploited to reveal the deep structures of fiction novels by using graph theoretic concepts, without the involvement of any manual work. Experimental evaluation showed that our model successfully classified fictional characters in terms of their importance to the plot of a novel.},
keywords={},
doi={10.1587/transinf.E97.D.2046},
ISSN={1745-1361},
month={August},}

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TY - JOUR
TI - Constructing Social Networks from Literary Fiction
T2 - IEICE TRANSACTIONS on Information
SP - 2046
EP - 2047
AU - Jong-kyu SEO
AU - Sung-hwan KIM
AU - Hwan-gue CHO
PY - 2014
DO - 10.1587/transinf.E97.D.2046
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E97-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 2014
AB - A social network is a useful model for identifying hidden structures and meaningful knowledge among social atoms, which have complicated interactions. In recent years, most studies have focused on the real data of the social space such as emails, tweets, and human communities. In this paper, we construct a social network from literary fiction by mapping characters to vertices and their relationship strengths to edges. The main contribution of this paper is that our model can be exploited to reveal the deep structures of fiction novels by using graph theoretic concepts, without the involvement of any manual work. Experimental evaluation showed that our model successfully classified fictional characters in terms of their importance to the plot of a novel.
ER -