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Web Mining for Estimating Regulatory Blockchain Readiness

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Information Systems (EMCIS 2023)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 501))

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Abstract

The regulatory landscape for cryptocurrencies and blockchain tokens is a critical factor shaping business decisions and opportunities. This study proposes a computational model that leverages Web mining through search engines to quantitatively estimate the regulatory readiness of countries in relation to cryptocurrencies. The model’s performance is validated through experimental trials supplemented with un- supervised clustering techniques for deeper analysis of the derived estimations. The findings demonstrate the effectiveness of the model in assessing regulatory tendencies and offer valuable insights for policymakers and industry stakeholders. This algorithmic approach presents an algorithmic methodology over manual regulatory assessments and subjective methods, showcasing its potential to guide regulatory frameworks in the rapidly evolving space of cryptocurrencies.

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Notes

  1. 1.

    Having only three queries is a special case that is explained at the end of this section.

  2. 2.

    Assuming that such operators are supported by the utilized search engine. The “|” operator is also referred to as “OR”.

  3. 3.

    https://developers.google.com/customsearch.

  4. 4.

    More information about the supported parameters can be found in the documentation: https://developers.google.com/customsearch/v1/reference/rest/v1/cse/list.

  5. 5.

    This is part of our ongoing work.

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Authors and Affiliations

  1. Department of Digital Innovation, School of Business, Institute for the Future (IFF), University of Nicosia, Nicosia, Cyprus

    Andreas Vlachos, Elias Iosif & Klitos Christodoulou

Authors
  1. Andreas Vlachos
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  2. Elias Iosif
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  3. Klitos Christodoulou
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Corresponding author

Correspondence to Klitos Christodoulou .

Editor information

Editors and Affiliations

  1. British University in Dubai, Dubai, United Arab Emirates

    Maria Papadaki

  2. University of Nicosia, Nicosia, Cyprus

    Marinos Themistocleous

  3. British University in Dubai, Dubai, United Arab Emirates

    Khalid Al Marri

  4. Dubai Blockchain Center, Dubai, United Arab Emirates

    Marwan Al Zarouni

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Vlachos, A., Iosif, E., Christodoulou, K. (2024). Web Mining for Estimating Regulatory Blockchain Readiness. In: Papadaki, M., Themistocleous, M., Al Marri, K., Al Zarouni, M. (eds) Information Systems. EMCIS 2023. Lecture Notes in Business Information Processing, vol 501. Springer, Cham. https://doi.org/10.1007/978-3-031-56478-9_3

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  • DOI: https://doi.org/10.1007/978-3-031-56478-9_3

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