1,720,955 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
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
BIG DATA ANALYTICS IN TRANSPORTATION NETWORKS USING THE NPMRDS
Get PDFUrban traffic congestion is common and the cause for loss of productivity (due to trip delays) and higher risk to passenger safety (due to increased time in the automobile), not to mention an increase in fuel consumption, pollution, and vehicle wear. The fiduciary effect is a tremendous burden for citizens and states alike. One way to alleviate these ill effects is increasing state roadway and highway capacity. Doing so, however, is cost prohibitive. A better option is improving performance measurements in an effort to manage current roadway assets, improve traffic flow, and reduce road congestion.
Variables like segment travel time, speed, delay, and origin-to-destination trip time are measures frequently used to monitor traffic and improve traffic flow on the state roadways. In 2014, ODOT was given access to the FHWA’s National Performance Management Research Data Set (NPMRDS), which includes average travel times divided into contiguous segments with travel time measured every 5 minutes. Travel times are subsequently segregated into passenger vehicle travel time and freight travel time. Both types of time are calculated using GPS location transmitted by way of participating drivers traveling along interstate highways.
This thesis presents research detailing the use of NPMRDS dataset consisting of highway vehicle travel times, for computing performance measurements in the state of Oklahoma. Data extraction, preprocessing, and statistical analysis were performed on the dataset. A comprehensive study of the dataset characteristics, including influencing variables that affect data measurements are presented. A process for identifying anomalies is developed, and recommendations for improving accuracy and alleviating data anomalies are reported. Furthermore, a process for filtering and removing speed data outliers across multiple road segments is developed, and comparative analysis of raw baseline speed data and cleansed data is performed. Identification and computational comparison of travel time reliability performance measurements is done. A method for improved congestion detection is investigated and developed. Finally, traffic analytics using machine learning is performed to identify and to classify congested segments and a novel approach for identifying non-recurrent congestion sources using Bayesian inference of speed data is also developed and introduced
Long Term Evolution – License Assisted Access (LTE-LAA): Modeling and Coexistence Performance Analysis
Get PDFWireless communication built upon radio spectrum plays an instrumental role in today's modern world. With the explosive growth of mobile data traffic, mobile cellular networks need more spectrum to boost their system capacity. Long Term Evolution (LTE) technology leveraging the unlicensed band is anticipated to provide a solution to address this challenge. However, ensuring fair operation in terms of spectrum sharing with current unlicensed spectrum incumbents remains a key challenge for the success and viability of Unlicensed LTE (U-LTE). In particular, fair co-existence between unlicensed LTE and the Institute of Electrical and Electronics Engineers (IEEE) 802.11x standard, known as Wi-Fi, remains a principal concern, due to the ubiquitous, high-throughput and high capacity nature of both technologies.
This work addresses the problem of modeling and evaluating the coexistence of LTE License-Assisted-Access (LTE-LAA) in the unlicensed band. The research work presents a novel analytical model using Markov Chain to accurately model the LAA Listen-Before-Talk (LBT) scheme, as specified in the final technical specification 36.213 of the 3rd Generation Partnership Project (3GPP) release 13 and 14. Model validation is demonstrated through numerical and simulation result comparison. Model performance evaluation is examined and contrasted with the IEEE 802.11 Distributed Coordination Function (DCF) and analysis results are subsequently presented and discussed herein. Finally, succeeding model development, a comprehensive coexistence performance analysis study is developed and completed examining the coexistence of homogeneous and heterogeneous network scenarios consisting of LTE-LAA and Wi-Fi nodes. As a result, the contribution of this work establishes a novel apparatus that facilitates numerical analysis of the LTE-LAA LBT mechanism and enables numerical comparison of future enhancements with the standardized LTE-LAA framework. In addition, this work delivers a delineating, unequivocal and in-depth examination of the effects and implications that the LTE-LAA LBT mechanism and its parameters have on coexistence performance of homogeneous and heterogeneous co-channel and co-located networks
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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