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Impact on the Sustainable Development Goals (SDGs)

Analysis of institutional authors

Cuadrado, FelixAuthor

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November 19, 2024
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Insights and caveats from mining local and global temporal motifs in cryptocurrency transaction networks

Publicated to: Scientific Reports. 14 (1): 26569- - 2024-11-04 14(1), DOI: 10.1038/s41598-024-75348-7

Authors:

Arnold, NA; Zhong, PJ; Ba, CT; Steer, B; Mondragon, R; Cuadrado, F; Lambiotte, R; Clegg, RG
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Affiliations

Northeastern Univ London, Network Sci Inst, London E1W 1LP, England - Author
Pometry Ltd, 69 Wilson St, London EC2A 2BB, England - Author
Queen Mary Univ London, Sch Elect Engn & Comp Sci, London E1 4NS, England - Author
Univ Milan, Dept Comp Sci, Via Giovanni Celoria 18, I-20133 Milan, MI, Italy - Author
Univ Oxford, Math Inst, Oxford OX2 6GG, England - Author
Univ Politecn Madrid, Sch Telecommun Engn, Ave Complutense,30,Moncloa-Aravaca, Madrid 28040, Spain - Author
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Abstract

Distributed ledger technologies have opened up a wealth of fine-grained transaction data from cryptocurrencies like Bitcoin and Ethereum. This allows research into problems like anomaly detection, anti-money laundering, pattern mining and activity clustering (where data from traditional currencies is rarely available). The formalism of temporal networks offers a natural way of representing this data and offers access to a wealth of metrics and models. However, the large scale of the data presents a challenge using standard graph analysis techniques. We use temporal motifs to analyse two Bitcoin datasets and one NFT dataset, using sequences of three transactions and up to three users. We show that the commonly used technique of simply counting temporal motifs over all users and all time can give misleading conclusions. Here we also study the motifs contributed by each user and discover that the motif distribution is heavy-tailed and that the key players have diverse motif signatures. We study the motifs that occur in different time periods and find events and anomalous activity that cannot be seen just by a count on the whole dataset. Studying motif completion time reveals dynamics driven by human behaviour as well as algorithmic behaviour.
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Keywords

Peace, justice, and strong institutions

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Scientific Reports due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2024 there are still no calculated indicators, but in 2023, it was in position 25/136, thus managing to position itself as a Q1 (Primer Cuartil), in the category Multidisciplinary Sciences.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-27:

  • Google Scholar: 3
  • WoS: 2
  • Scopus: 2
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-27:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 19.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 18 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 1.
  • The number of mentions on the social network X (formerly Twitter): 1 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/87313/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 141
  • Downloads: 24
Continuing with the social impact of the work, it is important to emphasize that, due to its content, it can be assigned to the area of interest of ODS 16 - Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels, with a probability of 77% according to the mBERT algorithm developed by Aurora University.
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Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Italy; United Kingdom.

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Awards linked to the item

We thank Chainalysis Inc. for providing two of the datasets used in this research. The work of Felix Cuadrado was supported by the HE CEDAR Project under Grant 101135577.
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