1,721,006 research outputs found
Decentraland: The Alleged Decentralization of Blockchain Applications
Full text linkInspired by a post by Moxie Marlinspike on the subject of Web I wish to elaborate on the promise of decentralization of blockchain applications. I will focus on two major use cases of blockchain technology, namely finance and art, which beg the questions: What does decentralization mean? Are blockchain finance and art truly decentralized? And if not, what are the forces that drive us toward centralization
Art for Space
No full textWe investigate the overlapping of the concepts of prestige and success in art. To this end, we invited a group of art experts and a group of artists to select a small number of artworks that they deemed of high quality among those the crypto art gallery SuperRare displays. We then matched the selections with indicators of market success for the same artworks. We find that prestigious artworks selected by art experts and artists are also successful in the gallery marketplace, tracing an interesting link between prestige and success in the art context. We also observe a clear divergence between the roles of art expert and art maker (artist)
Pairing transitive closure and reduction to efficiently reason about partially ordered events
No full textIn this paper, we show how well-known graph-theoretic techniques can be successfully exploited to efficiently reason about partially ordered events in Kowalski and Sergot's Event Calculus and in its skeptical and credulous modal variants. We replace the traditional generate-and-test strategy of (Modal) Event Calculus by a generate-only strategy that operates on the transitive closure and reduction of the underlying directed acyclic graph of events. We prove the soundness and completeness of the proposed strategy, and thoroughly analyze its computational complexity. © 2000 Springer-Verlag
Quantifying the higher-order influence of scientific publications
Full text linkCitation impact is commonly assessed using direct, first-order citation relations. We consider here instead the indirect influence of publications on new publications via citations. We present a novel method to quantify the higher-order citation influence of publications, considering both direct, or first-order, and indirect, or higher-order citations. In particular, we are interested in higher-order citation influence at the level of disciplines. We apply this method to the whole Web of Science data at the level of disciplines. We find that a significant amount of influence—42%—stems from higher-order citations. Furthermore, we show that higher-order citation influence is helpful to quantify and visualize citation flows among disciplines, and to assess their degree of interdisciplinarity
Return on NFTs
Full text linkCurrently, the best known applications of blockchain technology are finance and art. In particular, the blockchain art market, born in early 2018 without fuss, went parabolic around 2021, also thanks to record-breaking sales of digital artworks associated with a Non-Fungible Token (NFT), mediated by the grand dames of auction houses Christie’s and Sotheby’s. In this contribution we merge art and finance on blockchain and explore the opportunity of buying blockchain art as a financial investment. While there exists a relatively large literature on traditional art as investment, the topic of investing in NFTs is still in its infancy. Thus, we provide methods (metrics) and tools (a Web app) to reason about opportunities, in terms of risks and returns, of investing in art on chain
Representing and Reasoning about Temporal Granularities
No full textIn this paper, we propose a new logical approach to represent and to reason about different time granularities. We identify a time granularity as an infinite sequence of time points properly labelled with proposition symbols marking the starting and ending points of the corresponding granules, and we symbolically model sets of granularities by means of linear time logic formulas. Some real-world granularities are provided, from a clinical domain and from the Gregorian Calendar, to motivate and exemplify our approach. Different formulas are introduced, which represent relations between different granularities. The proposed framework permits one to algorithmically solve the consistency, the equivalence, and the classification problems in a uniform way, by reducing them to the validity problem for the considered linear time logic
Clustering citation histories in the Physical Review
Full text linkWe investigate publications trough their citation histories -- the history events are the citations given to the article by younger publications and the time of the event is the date of publication of the citing article. We propose a methodology, based on spectral clustering, to group citation histories, and the corresponding publications, into communities and apply
multinomial logistic regression to provide the revealed communities with semantics in terms of publication features. We study the case of publications from the full Physical Review archive, covering 120 years of physics in all its domains. We discover two clear archetypes of publications -- marathoners and sprinters -- that deviate from the average middle-of-the-roads behaviour, and discuss some publication features, like age of references and type of publication, that are correlated with the membership of a publication into a certain community
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