1,720,973 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
“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
We 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
Multi-class Categorization of Reasons behind Mental Disturbance in Long Texts
Motivated with recent advances in inferring users' mental state in social
media posts, we identify and formulate the problem of finding causal indicators
behind mental illness in self-reported text. In the past, we witness the
presence of rule-based studies for causal explanation analysis on curated
Facebook data. The investigation on transformer-based model for multi-class
causal categorization in Reddit posts point to a problem of using long-text
which contains as many as 4000 words. Developing end-to-end transformer-based
models subject to the limitation of maximum-length in a given instance. To
handle this problem, we use Longformer and deploy its encoding on
transformer-based classifier. The experimental results show that Longformer
achieves new state-of-the-art results on M-CAMS, a publicly available dataset
with 62\% F1-score. Cause-specific analysis and ablation study prove the
effectiveness of Longformer. We believe our work facilitates causal analysis of
depression and suicide risk on social media data, and shows potential for
application on other mental health conditions
Quantifying the Suicidal Tendency on Social Media: A Survey
Amid lockdown period more people express their feelings over social media
platforms due to closed third-place and academic researchers have witnessed
strong associations between the mental healthcare and social media posts. The
stress for a brief period may lead to clinical depressions and the long-lasting
traits of prevailing depressions can be life threatening with suicidal ideation
as the possible outcome. The increasing concern towards the rise in number of
suicide cases is because it is one of the leading cause of premature but
preventable death. Recent studies have shown that mining social media data has
helped in quantifying the suicidal tendency of users at risk. This potential
manuscript elucidates the taxonomy of mental healthcare and highlights some
recent attempts in examining the potential of quantifying suicidal tendency on
social media data. This manuscript presents the classification of heterogeneous
features from social media data and handling feature vector representation.
Aiming to identify the new research directions and advances in the development
of Machine Learning (ML) and Deep Learning (DL) based models, a quantitative
synthesis and a qualitative review was carried out with corpus of over 77
potential research articles related to stress, depression and suicide risk from
2013 to 2021.Comment: Revised versio
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Money Politics as a Driver of Trade Misinvoicing: A Comparative Case Study Analysis of Philippines and India
Capital flight via trade misinvoicing is very high in emerging Asian economies. This thesis aims to analyze whether money politics is a driver for trade misinvoicing in the region. The methodology is a comparative case study between Philippines and India. Philippines has a higher role of money politics and crony capitalism than India. It also has higher trade misinvoicing as a percentage of its total trade. The interdependence between government and business creates a loose regulatory environment for few firms, allowing them to engage in illicit practices like trade misinvoicing for profit shifting
Dispelling the Myths Behind First-author Citation Counts
We 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
We 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
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