1,720,977 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
AAA: A blockchain-based architecture for ethical, robust authenticated anonymity
Full text linkIn the past years, online anonymity has attracted strong criticism for its role in shielding online crimes such as cyberbullying, fake news, money laundering, and pedo-pornography. Yet, it also has historically strong supporters who emphasize the necessity of a safe haven for carrying out legal and ethical activities that should not be associated with our real-life personas. We define authenticated anonymity as the possibility of using anonymous accounts that cannot be associated with the real identity of their owner unless a criminal act is being performed through them. Blockchain technology represents a good means for managing this complexity in a secure and trustworthy manner. Several solutions exist in the literature and on the market for anonymous identity, but they confer too much power to their owners, who can decide what to reveal about themselves in total autonomy (self-sovereign identities). In this paper, we present the Authenticated Anonymity Architecture (AAA), a blockchain-based solution for creating authenticated anonymous identities, where the mappings between official and anonymous identities can only be revealed after the necessary consensus of multiple different actors on the blockchain, evaluating the appropriateness and ethicality of the request. We mathematically modeled the architecture and conducted some analytical evaluations, showing that our proposal is resilient and fault-tolerant, even in the case of a huge number of identities managed
Relativistic Digital Twin: Bringing the IoT to the Future
Full text linkComplex IoT ecosystems often require the usage of Digital Twins (DTs) of
their physical assets in order to perform predictive analytics and simulate
what-if scenarios. DTs are able to replicate IoT devices and adapt over time to
their behavioral changes. However, DTs in IoT are typically tailored to a
specific use case, without the possibility to seamlessly adapt to different
scenarios. Further, the fragmentation of IoT poses additional challenges on how
to deploy DTs in heterogeneous scenarios characterized by the usage of multiple
data formats and IoT network protocols. In this paper, we propose the
Relativistic Digital Twin (RDT) framework, through which we automatically
generate general-purpose DTs of IoT entities and tune their behavioral models
over time by constantly observing their real counterparts. The framework relies
on the object representation via the Web of Things (WoT), to offer a
standardized interface to each of the IoT devices as well as to their DTs. To
this purpose, we extended the W3C WoT standard in order to encompass the
concept of behavioral model and define it in the Thing Description (TD) through
a new vocabulary. Finally, we evaluated the RDT framework over two disjoint use
cases to assess its correctness and learning performance, i.e., the DT of a
simulated smart home scenario with the capability of forecasting the indoor
temperature, and the DT of a real-world drone with the capability of
forecasting its trajectory in an outdoor scenario. Experiments show that the
generated DT can estimate the behavior of its real counterpart after an
observation stage, regardless of the considered scenario.Comment: 18 pages, 10 figures, 4 tables, 6 listing
Supporting Resilient, Ethical, and Verifiable Anonymous Identities Through Blockchains
Full text linkIn recent years, anonymity on the internet has come under intense scrutiny for enabling criminal behaviors like cyberbullying, disinformation, child exploitation, and illicit financial activities. Nevertheless, strong advocates highlight its importance as a protective space for legitimate and ethical actions that individuals may prefer to keep separate from their real-world identities. This paper presents a protocol for authenticated anonymity, enabling anonymous usage that remains unlinkable to real identities unless criminal activity is detected. Blockchain offers a robust and secure framework to manage these needs. While existing solutions — e.g., self-sovereign identities — grant users full control over their disclosure, they lack proper accountability. To address this limitation, the proposed protocol employs a blockchain-driven mechanism that supports anonymous yet verifiable identities. De-anonymization is achieved exclusively through multi-party consensus on the blockchain, t riggered by explicit and non-repudiable requests. We provide the formal mathematical model of the protocol and offer some evaluations of its robustness and fault tolerance, even under large-scale identity management scenarios
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