1,721,154 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
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
SciBrowser: Exploration and Analysis of the Complexity, Structure, and Activity Dynamics of Open Source Science Communities
Get PDFOpen Biomedical Ontology (OBO) is a socio-technical community that is comprised of individuals dispersed geographically, but function as a coherent unit through the use of cyber-infrastructure. This study explores dynamics of open source science in such virtual socio-technical networks. Innovation within a socio-technical network can be de ned as the approach to work that leads to the generation of novel and useful ideas and processes. Among the factors that influence innovation are structural properties such as centrality, den-
sity, clustering coe cient, and average path length of socio-technical networks, as well as
effectiveness in collaboration. Hence, we explore virtual scienti c communities from three main perspectives: network, collaboration, and activity. Structural network metrics measure
the resilience of socio-technical networks. Collaboration analysis aims to discover interaction patterns among participants and between knowledge domains. Activity analysis facilitate discerning artifact submission and community growth patterns over time. To expedite analysis, a computational ethnography tool, called SciBrowser, is introduced. Using SciBrowser, we observe power law degree distributions, which indicate presence of scale-free network con figurations. Such con gurations provide an explanation for the resilience of research
communities in cyberspace. A new metric, called activity strength, suggests that major contributors of the project are weak collaborators. As a result, their strong contribution factor is nulli ed by their weak collaboration intensity. Activity patterns of the observed
projects suggest the presence of an adaptive renewal cycle, which is the epitome of behavior in innovation ecosystems
Learning Explanatory Models for Robust Decision-Making Under Deep Uncertainty
Get PDFDecision-makers rely on simulation models to predict and investigate the implications of their decisions. However, the use of monolithic simulation models based on fixed assumptions lack the requisite adaptivity needed when the real-world system contains significant uncertainty. Exploratory modeling is a methodology that involves iterative and incremental exploration of alternative hypotheses about the underlying assumptions of the real-world system under a broad range of contextual conditions. Through exploration, decision-makers gain an understanding of the breadth of the system and pinpoint robust policies. However, exploratory modeling tools lack mechanisms to generate, evaluate, and learn from the results of simulating an ensemble of alternative, possibly competing models. Additionally, exploratory modeling over a pop- ulation of models generates significant amount of data that may obscure fundamental system mechanics and their interaction with the context. This thesis introduces a modeling architecture with (1) a feature-oriented generative modeling mechanism for rapid derivation of alternative causal model structures and (2) a rule-based machine learning strategy in terms of a Learn- ing Classifier System to produce explanatory models in the form of a population of rules and its associated visual heat-maps that convey the robustness and resilience of alternative system designs. The use of both of these mechanisms accelerates the decision-support exercise and yields more intuitive interpretations of system insights when modeling for decision-making under deep uncertainty
Credible agent-based simulation - an illusion or only a step away?
No full textDuring the World Café activity at the 2018 Winter Simulation Conference, we discussed Agent-based Simulation (ABS) credibility. The topic is important since credible ABS leads to an impact on society whereby ABS is implemented by users and they can benefit from it. This paper presents the perspective of three academic panelists and a practitioner on the credibility of ABS. The discussion reveals that the increasing use of ABS models to explain social phenomena or systems that exhibit emergent behavior pose a challenge for model credibility. Several points and suggestions are raised by the panelists, including evaluating ABS model credibility via its explanatory power, the multi-dimensionality of credibility and the role of software engineering approaches
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
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