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International Conference on Data Mining and Big Data

DMBD 2019: Data Mining and Big Data pp 23–33Cite as

What Are You Reading: A Big Data Analysis of Online Literary Content

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1071))

Abstract

The combination of Internet and literature gives rise to the online literature, which is sharply distinct from traditional literature. Online literary content has become an important and active Internet resource and has now been formalized into a large and rapidly growing industry. Despite the great success of online literature platforms, little is known about the structure of literary content and patterns and characteristics in the creation and consumption of online literary content. In this paper, we conducted a deep analysis of online literary content on leading online literature platforms based on the real big data. From the crawled data, we obtained a set of interesting results, which describes the content-related and writing-related characteristics of online literature content. Our analysis results will shed light on the current status of online literary content and reveal some interesting research topics.

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Notes

  1. 1.

    Xunhuan is sometimes translated as Mysterious Fantasy or Alternative Fantasy. It has a broad genre of fictional stories that remix Chinese folklore/mythology with foreign elements & settings.

  2. 2.

    Xianxia literally means immortal heroes. It is about fictional stories featuring magic, demons, ghosts, immortal characters, and a lot of Chinese folklore/mythology. The novels are heavily inspired by Daoism.

  3. 3.

    The 2D world category contains stories where the contents and writing style match up with various cartoons and comics.

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Author information

Authors and Affiliations

  1. Jiangxi University of Finance and Economics, Nanchang, 330013, People’s Republic of China

    Xiping Liu & Changxuan Wan

Authors
  1. Xiping Liu
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  2. Changxuan Wan
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Corresponding author

Correspondence to Xiping Liu .

Editor information

Editors and Affiliations

  1. Department of Machine Intelligence, Peking University, Beijing, China

    Ying Tan

  2. Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China

    Yuhui Shi

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Liu, X., Wan, C. (2019). What Are You Reading: A Big Data Analysis of Online Literary Content. In: Tan, Y., Shi, Y. (eds) Data Mining and Big Data. DMBD 2019. Communications in Computer and Information Science, vol 1071. Springer, Singapore. https://doi.org/10.1007/978-981-32-9563-6_3

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  • DOI: https://doi.org/10.1007/978-981-32-9563-6_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-32-9562-9

  • Online ISBN: 978-981-32-9563-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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