Identifying Influential Social Impact Websites with HITS Algorithms

Yang Ruei Jheng; Ping Yu Hsu; Jiu Zhong Chen; Ming Shien Cheng; Yu Chun Chen

doi:10.1007/978-3-031-35915-6_6

Identifying Influential Social Impact Websites with HITS Algorithms

Yang Ruei Jheng, Ping Yu Hsu, Jiu Zhong Chen, Ming Shien Cheng, Yu Chun Chen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Social Computing and Social Media - 15th International Conference, SCSM 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings
Editors	Adela Coman, Simona Vasilache
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	68-82
Number of pages	15
ISBN (Print)	9783031359149
DOIs	https://doi.org/10.1007/978-3-031-35915-6_6
State	Published - 2023
Event	15th International Conference on Social Computing and Social Media, SCSM 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023 - Copenhagen, Denmark Duration: 23 Jul 2023 → 28 Jul 2023

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	14025 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th International Conference on Social Computing and Social Media, SCSM 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023
Country/Territory	Denmark
City	Copenhagen
Period	23/07/23 → 28/07/23

Keywords

CSR
ESG
HITS Algorithm
Social Impact

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-031-35915-6_6

Cite this

Jheng, Y. R., Hsu, P. Y., Chen, J. Z., Cheng, M. S., & Chen, Y. C. (2023). Identifying Influential Social Impact Websites with HITS Algorithms. In A. Coman, & S. Vasilache (Eds.), Social Computing and Social Media - 15th International Conference, SCSM 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings (pp. 68-82). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14025 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-35915-6_6

Jheng, Yang Ruei ; Hsu, Ping Yu ; Chen, Jiu Zhong et al. / Identifying Influential Social Impact Websites with HITS Algorithms. Social Computing and Social Media - 15th International Conference, SCSM 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings. editor / Adela Coman ; Simona Vasilache. Springer Science and Business Media Deutschland GmbH, 2023. pp. 68-82 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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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Jheng, YR, Hsu, PY, Chen, JZ, Cheng, MS & Chen, YC 2023, Identifying Influential Social Impact Websites with HITS Algorithms. in A Coman & S Vasilache (eds), Social Computing and Social Media - 15th International Conference, SCSM 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14025 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 68-82, 15th International Conference on Social Computing and Social Media, SCSM 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023, Copenhagen, Denmark, 23/07/23. https://doi.org/10.1007/978-3-031-35915-6_6

Identifying Influential Social Impact Websites with HITS Algorithms. / Jheng, Yang Ruei; Hsu, Ping Yu; Chen, Jiu Zhong et al.
Social Computing and Social Media - 15th International Conference, SCSM 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings. ed. / Adela Coman; Simona Vasilache. Springer Science and Business Media Deutschland GmbH, 2023. p. 68-82 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14025 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Hsu, Ping Yu

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AU - Cheng, Ming Shien

AU - Chen, Yu Chun

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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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SN - 9783031359149

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BT - Social Computing and Social Media - 15th International Conference, SCSM 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings

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A2 - Vasilache, Simona

PB - Springer Science and Business Media Deutschland GmbH

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ER -

Jheng YR, Hsu PY, Chen JZ, Cheng MS, Chen YC. Identifying Influential Social Impact Websites with HITS Algorithms. In Coman A, Vasilache S, editors, Social Computing and Social Media - 15th International Conference, SCSM 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings. Springer Science and Business Media Deutschland GmbH. 2023. p. 68-82. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-35915-6_6

Identifying Influential Social Impact Websites with HITS Algorithms

Abstract

Publication series

Conference

Keywords

UN SDGs

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