1,720,969 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Sentiment analysis of Italian and English corpora of internet news: a comparison with some economic trends /
No full textIn this article, the sentiment analysis of several large Internet corpora made of Italian and English news is performed using a software written by the author, showing a possible connection with some economic trends. In this research, the news includes different topics (not necessarily financial news), and they are extrapolated from a large number of Internet newspapers. The software, already used in a previous article by the same author, is lexicon-based and makes use of scale points ranging from 0 to 100 to calculate an index of positivity in a text. The variation of sentiment tendency in the news corpora, calculated for a time period of several years, is later compared with some graphs showing some parameters of some economic trends, including the gross domestic product (GDP). It is found that the sentiment tendency of the news seems to have a relationship with the tendency of some economic trends that span the same time period. Positive growth of the economy per year seems connected with a positive variation in the index of positivity. Inversely, for a negative trend in the economy, the variation in the index of positivity is also negative. The article shows that, for various news topics, sentiment analysis can be useful to better understand some economic trends. For financial news, many studies show the possibility of predicting GDP growth through sentiment analysis. In this article, it is hypothesized that a prediction based on large news corpora including various topics could also be possible
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Detecting Main Topics using Dictionary-based Topic Analysis
No full textThis paper describes a dictionary-based software for topic analysis written by the author. The dictionary was created manually. Many studies showed the advantages of using dictionaries to analyze texts. The software described here works in English and Italian languages, and it does not make use of probabilistic methods. In natural language processing, the use of a lexicon to reveal topics in a text is often avoided. Topics depend very much on the context. Assigning unique words to each topic does not help to check the topics in different contexts. However, the software, with a dictionary of about 5,500 topic words described in the paper, in many cases, allows the same word to fall into different topics. This approach allows one to find the main topics in a text, which corresponds to the most frequent topic words detected by the software. Advantages and disadvantages are discussed in the paper, along with examples. The software was extensively tested on large texts, such as Internet news corpora and classics of English and American literature, showing very high reliability in detecting the main topics. Analysis of topics in literary works demonstrates almost the same conclusions as were reached by critics
A survey of some Italian literature works using sentiment analysis /
No full textThe article describes the use of software, written by the author, to analyze some Italian literature works from the last century by using sentiment analysis. The software is lexicon-based, with a sentiment Italian dictionary including about 30,000 positive and negative words. To set the sentiment of each word, a scale of points ranging from 0 to 100 was introduced. To check the overall sentiment in literary works, the software makes use of a new parameter, the index of positivity. It is found that sentiment analysis is an efficient way to detect the tendency of opinions (positive or negative) in literature works. The results of this analysis coincide with the critics on the classification of authors’ tendencies. The index of positivity could be useful also for bookstores: the customers, checking the index, would expect in advance, which is the overall tendency in a literary work. In this case, it would be easier to select a certain kind of work, according to the taste or the wish of customers
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