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Identifying Influential Social Impact Websites with HITS Algorithms

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Social Computing and Social Media (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14025))

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Abstract

Advocators of ESG (Environment, Social, Governance) attempt to propose standards for business to report their sustainability measure to investors. The three aspects are corporate social responsibility in society. However, the indicators to reveal impact generated by social activities are still in the development. As an result, the Social Impact reported on websites and ESG reports are diversified and inconsistent. This research aimed at recommending model webpages to readers for the references of business world. This research implements variations of HITS algorithm to identify authority and hub pages excluding the influence of pages in the same website as self-references may seriously distort ranking result. Top 10 authority pages are recommended among 3 million webpages collected from the world wide web. The appropriateness of the pages is compared against first 10 links retrieved from Google search. Expert reviewers confirmed that the recommended pages were better than the links retrieved from Google.

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Author information

Authors and Affiliations

  1. Department of Business Administration, National Central University, No. 300, Jhongda Road, Jhongli, Taoyuan, 32001, Taiwan (R.O.C.)

    Yang Ruei Jheng, Ping-Yu Hsu, Jiu Zhong Chen & Yu-Chun Chen

  2. Department of Industrial Engineering and Management, Ming Chi University of Technology, No. 84, Gongzhuan Road, Taishan, New Taipei, 24301, Taiwan (R.O.C.)

    Ming Shien Cheng

Authors
  1. Yang Ruei Jheng
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  2. Ping-Yu Hsu
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  3. Jiu Zhong Chen
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  4. Ming Shien Cheng
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  5. Yu-Chun Chen
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Corresponding author

Correspondence to Ming Shien Cheng .

Editor information

Editors and Affiliations

  1. University of Bucharest, Bucharest, Romania

    Adela Coman

  2. University of Tsukuba, Tsukuba, Japan

    Simona Vasilache

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Jheng, Y.R., Hsu, PY., Chen, J.Z., Cheng, M.S., Chen, YC. (2023). Identifying Influential Social Impact Websites with HITS Algorithms. In: Coman, A., Vasilache, S. (eds) Social Computing and Social Media. HCII 2023. Lecture Notes in Computer Science, vol 14025. Springer, Cham. https://doi.org/10.1007/978-3-031-35915-6_6

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  • DOI: https://doi.org/10.1007/978-3-031-35915-6_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35914-9

  • Online ISBN: 978-3-031-35915-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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