1,721,077 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
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
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The Promise and Hazards of Armed Self-Protection: Analyzing the Racial and Gender Implications of Justifiable Homicide and the Effects of ‘Stand Your Ground’ Laws
In response to a growing national desire for armed self-protection, most states have passed Stand Your Ground (SYG) laws. These laws expand legal immunities for the use of self-defense and allow law enforcement personnel to preempt jury rulings of justifiable homicides. In this thesis, I empirically investigate the application of self-defense protections along racial and gender lines. I also examine the causal impact of SYG adoption on the classification of homicides as self-defensive. Using regression analyses of the CDC’s National Violent Death Reporting System, I find strong evidence that racial and gender disparities lie in justifiability determinations. These determinations especially favor self-defense claims made by White men and women against Black male strangers, even in the absence of a preceding felony (e.g., robbery or sexual assault). Applying a difference-in-differences strategy, I find suggestive evidence that the passage of an SYG law increases the prospect that a homicide will be deemed justifiable, particularly in the absence of clear proof of self-defense. Taking together, the findings in this thesis indicate that the promise of self-protection is neither race-blind nor gender-neutral, and the expansion of legal self-defense protections may inadvertently broaden the authorized use of lethal violence.Applied Mathematic
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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Social Capital Activation during Times of Organizational Change
This dissertation contributes to our understanding of how people build and use social capital – resources embedded in social relations – in organizational settings. Whereas the extant literature has tended to focus on the structure of interpersonal networks within organizations and the link to various indicators of individual attainment, this dissertation instead uncovers the dynamics of network action. I tackle two central questions: (1) During times of organizational change, how do organizational actors use the social resources accessible to them by virtue of their position in the structure? and (2) What organizational interventions can help people forge valuable new connections in the workplace? Core to this investigation is the concept of social capital activation – that is, the conversion of latent social ties into active relationships. Three empirical studies illuminate different facets of social capital activation during commonly experienced forms of organizational change: (1) an organizational restructuring; (2) large-scale transformations that create individual-level threat or opportunity; and (3) the introduction of a novel employee cross-training program. Because organizational change is often accompanied by significant shifts in resources and power, network activation choices in these periods can have significant consequences for individual attainment and organizational performance. I draw on unique data from three disparate settings – a global information services firm; a large health care organization; and a software development lab based in Beijing, China. Multiple research methods, including a large panel data set of archived electronic communications, qualitative interviews, experimental studies conducted with samples of working professionals, and a longitudinal field experiment, are used to identify how organizational actors marshal social resources through individual-level network activation choices. Findings from these studies contribute to research on: (1) organizational social capital; (2) the structural dynamics of organizational change; (3) ascriptive inequality in organizations; (4) cognition and social networks; and (5) workplace practices and network change
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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