1,720,956 research outputs found
Cryptocurrency, trading and mining
No full textPodručje istraživanja rada obuhvaća temu kriptovaluta te koje se sve vrste pojavljuju. Spominje se povijest i počeci kriptovaluta odnosno tko je započeo cijelu teoriju i kako nastaje prva kriptovaluta i postojeće mreže kriptovaluta. Pojašnjenje pojmova blockchain, rudarenje kriptovaluta i NFT-jeva. Pojašnjava se kako se trguje sa kriptovalutama, koje burze postoje i na koji način funkcioniraju na primjeru burzi koje su spomenute kao primjer te kako se trguje pomoću kripto novčanika. Nadalje se analizira i istražuje kako se koriste fundamentalna i tehnička analiza. Izvršena je analiza mogućih trendova koji postoje, neformalne riječi i izričaji koji se koriste svakodnevno u svijetu kriptovaluta, grafička analiza i najčešći uzorci koji se pojavljuju na grafovima i kako ih prepoznati. Posljednji dio rada prikazuje primjer investicije u određeni projekt, od čega se sastoji, što je uopće decentralizirana burza, mreža za trgovanje te najčešći uzroci gubitka novaca.The field of research covers the topic of cryptocurrencies and all available kinds. The history and beginning of cryptocurrencies are mentioned, who started the whole theory and how the first cryptocurrency and existing networks of cryptocurrencies were created. Clarification of terms blockchain, cryptocurrency mining and NFTs. It explains how cryptocurrencies are traded, which exchanges exist, how they function on the example of the exchanges mentioned and how to trade with a crypto wallet. It further analyzes how fundamental and technical analysis is used. An analysis of possible trends that exist, informal words and expressions used daily in the world of cryptocurrencies, graphic analysis and the most common patterns that appear on graphs and how to recognize them. The last part shows an example of investing in a particular project, what is a decentralized exchange, trading network and most common causes of money loss
What is Preventing the Wider Use of Digital Currencies?
No full textThe aim of this paper is to broaden the discussion on the main barriers to the use of digital currencies. The main problem of the research conducted arises from the fact that trust in digital currencies is highly dependent on public opinion, legal regulations and understanding of the technical aspects. Although they offer significant advantages such as transparency, traceability and low transaction costs, the markets for cryptocurrencies are highly volatile and therefore too risky for broad social acceptance. In this paper, topological data analysis (TDA) is used to investigate multiple currencies. TDA is primarily used to gain more insight into market activity, volatility and the connection between coins or tokens, as well as information about the market itself. Given the growing interest in cryptocurrencies and investing in recent years, the paper addresses the need for informed decision making in an evolving market. Vulnerabilities in exchanges, private wallets and trading wallets are examined and analyzed
What is Preventing the Wider Use of Digital Currencies?
No full textThe aim of this paper is to broaden the discussion on the main barriers to the use of digital currencies. The main problem of the research conducted arises from the fact that trust in digital currencies is highly dependent on public opinion, legal regulations and understanding of the technical aspects. Although they offer significant advantages such as transparency, traceability and low transaction costs, the markets for cryptocurrencies are highly volatile and therefore too risky for broad social acceptance. In this paper, topological data analysis (TDA) is used to investigate multiple currencies. TDA is primarily used to gain more insight into market activity, volatility and the connection between coins or tokens, as well as information about the market itself. Given the growing interest in cryptocurrencies and investing in recent years, the paper addresses the need for informed decision making in an evolving market. Vulnerabilities in exchanges, private wallets and trading wallets are examined and analyzed
What is Preventing the Wider Use of Digital Currencies?
No full textThe aim of this paper is to broaden the discussion on the main barriers to the use of digital currencies. The main problem of the research conducted arises from the fact that trust in digital currencies is highly dependent on public opinion, legal regulations and understanding of the technical aspects. Although they offer significant advantages such as transparency, traceability and low transaction costs, the markets for cryptocurrencies are highly volatile and therefore too risky for broad social acceptance. In this paper, topological data analysis (TDA) is used to investigate multiple currencies. TDA is primarily used to gain more insight into market activity, volatility and the connection between coins or tokens, as well as information about the market itself. Given the growing interest in cryptocurrencies and investing in recent years, the paper addresses the need for informed decision making in an evolving market. Vulnerabilities in exchanges, private wallets and trading wallets are examined and analyzed
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
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