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International Conference on Human Centered Computing

HCC 2019: Human Centered Computing pp 223–232Cite as

SCHONA: A Scholar Persona System Based on Academic Social Network

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11956))

Abstract

Recently, social network including academic social network has developed rapidly. It is a challenge to utilize massive academic data including academic social network data and academic achievement data to analyze and mine scholars’ important information such as behavioral characteristics and research interests. In this paper, we present a scholar persona system SCHONA which is composed of two parts, data collection and scholar labels generation. It collects three types of data first and finally generates the labels which can accurately represent scholars by extensively using big data analysis methods such as Word2Vec, K-means and TextRank.

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Acknowledgments

Our work is supported by the National Natural Science Foundation of China (No. U1811263), Science and Technology Project of Guangzhou (No. 201807010043), the Research and Reform Project of Higher Education of Guangdong Province, Outcome-based Education on Data Science Talent Cultivation Model Construction and Innovation Practice, and Natural Science Foundation of Guangdong (No. 2016A030313441).

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Authors and Affiliations

  1. South China Normal University, Guangzhou, Guangdong, 510631, China

    Ronghua Lin, Chengjie Mao, Chaodan Mao, Rui Zhang, Hai Liu & Yong Tang

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  1. Ronghua Lin
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  2. Chengjie Mao
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  3. Chaodan Mao
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  4. Rui Zhang
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  5. Hai Liu
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  6. Yong Tang
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Corresponding author

Correspondence to Chengjie Mao .

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Editors and Affiliations

  1. University of Kragujevac, Čačak, Serbia

    Danijela Milošević

  2. South China Normal University, Guangzhou, China

    Yong Tang

  3. Wuhan University of Technology, Wuhan, Hubei, China

    Qiaohong Zu

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Lin, R., Mao, C., Mao, C., Zhang, R., Liu, H., Tang, Y. (2019). SCHONA: A Scholar Persona System Based on Academic Social Network. In: Milošević, D., Tang, Y., Zu, Q. (eds) Human Centered Computing. HCC 2019. Lecture Notes in Computer Science(), vol 11956. Springer, Cham. https://doi.org/10.1007/978-3-030-37429-7_22

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  • DOI: https://doi.org/10.1007/978-3-030-37429-7_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37428-0

  • Online ISBN: 978-3-030-37429-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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