Characteristic Analysis of Social Network Constructed from Literary Fiction

A Social network is a useful model to identify hidden structures and meaningful knowledge among social atoms, which have complicated interactions. Until recently, most studies have focused on the real data of social space, including emails, tweets, and human communities. In this paper, we construct a social network from a fictional space by mapping characters to vertices and their relationship strengths to edges between characters. It is very interesting that the topological structure of SNF is remarkably similar to the common social network based on real people in terms of the power-law distribution of node degree and path distance. The main contribution of this paper is that our SNF model can be exploited to reveal the deep structure of fiction novels by using a graph topology rather than by using traditional categories such as short or long novels.