@article{2412,
  author = {SeungJin Lim},
  title = {Mining of Social Networks from Classic Books and Visualization},
  journal = {Journal of Digital Information Management},
  year = {2018},
  volume = {16},
  number = {1},
  doi = {https://doi.org/10.6025/jdim/2018/16/1/1-11},
  url = {http://dline.info/fpaper/jdim/v16i1/jdimv16i1_1.pdf},
  abstract = {While modern online social networks offer
unprecedented amount of data and opportunities for mining,
we acknowledge that other forms of social networks
have been around throughout human history. In particular,
we recognize the classic books as valuable sources
for the analysis of interpersonal interactions as they have
had positive influence on human mind and continue to
enlighten the human race.
In this paper, we propose a formal framework for the
mining of interpersonal interactions from classic books.
Our approach employs a heuristic over a traditional
named-entity recognition for extracting people names. We
demonstrate the effectiveness of our approach by
presenting the encouraging result from a network analysis
conducted over the persons appearing in the book of
Genesis. The result aids the understanding of the persons
featured in the book and their interactions. We also
present the merits and challenges of visualization
techniques pertaining to our work.},
}