1,720,958 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
A multi-objective optimization of online real estate property search
No full textThe search for the property listings is a time-consuming task. Traditionally, a person who wants to buy or rent a house will search through the tremendous amount of property listings advertised in the local newspapers or brochures. After the preferred property listings have been selected, it is necessary to connect with the property agent for the house viewing and make a price negotiation with the house owner. Once the price negotiation is successful, the contract signing and further legal works for the ownership are processed. The real estate industry had been nurturing such a conventional business model for more than a few decades. Gradually, the technological advancements allow the entrepreneurs to adopt the innovative technologies in the development of the property listing and search services to provide intelligent solutions more efficiently and effectively. Property search on the online web-based platforms is common because it significantly reduces the level of time consumption on the search and increases the search efficiency. Consequently, various kinds of search methods are developed in the online web-based platforms. However, it is discovered that current search methods require the contribution of the customers’ preferences in the search process. It can lead to a situation where some good property listings, which customers might favor, can be filtered out due to the constraint of the preference criteria.
Therefore, in this dissertation, a new kind of property search system is proposed as a decision support system, which can be differentiated from existing property search methods. With an adoption of multi-objective optimization techniques, an online web-based property listing and search system is designed to consider multiple criteria in the search with the minimum preference input from the customers and recommend the property listings, which are the ideal possible options for the customers to make an intelligent decision in the property selection. Moreover, in order to achieve the goal of a convenient transition from the selection of a dream home to a successful business contract between the customer and house owner, a price negotiation model is cooperated in the decision support system to perform the appropriate price estimation of the real estate property. The whole dissertation work is mainly organized into three types of data analytics: descriptive analytics, predictive analytics, and prescriptive analytics to go through the lifecycle of design and development of an online web-based property listing and search system. According to the performance assessment, it is discovered that the property listing and search system can perform a good recommendation of the property listings considering three multiple criteria in the search performance: 1) minimizing the price expense, 2) maximizing the facilities offered in the real estate property, and 3) minimizing the distance/duration it takes to go to the specified locations.Master of Engineerin
Sentiment analysis on the web
No full textIn the Information Age, the wide range of Web usage has been increasing due to the advancement in hardware and software technology. As a result of that, the Web becomes the valuable source of massive amount of data contents. Nowadays, large volumes of data are created by Internet users. Among the different kinds of data available on the Web, considerable amount of data comes from social media. This is the place where users express themselves freely in the context of various topics. Therefore, sentiment data has gained increasing attention from both business and consumer to discovery valuable knowledge from these kinds of data. However, in order to accomplish analyzing the sentiment data, step by step processes have to be executed.
In this project, software application was developed in order to support all step by step processes involved in sentiment analysis on the Web. Software application was separated into different software components to assist in data collection, data preparation, sentiment analysis, and data visualization processes. Literature studies were done for a better understanding of these processes. Software design methodology was created with the use of Unified Modeling Language (UML) before the actual implementation was performed using Java object oriented programing language in NetBeans Integrated Development Environment (IDE). Software testing was done for each process by using the real world online review data from Amazon web site.
Web crawler and parser processed the real world data, and data pre-processor and text processor performed data transformation. Different kinds of sentiment classification techniques such as Naïve Bayes, Sequential Minimal Optimization and k-Nearest Neighbor learning were applied in sentiment analysis on the Web and results were visualized for end users. Classification accuracy results were observed and compared in which SMO performed better than Naïve Bayes and kNN in different scenarios. One of the research works of domain adaption were analyzed and perform experimentations for future direction of sentiment analysis.Bachelor of Engineering (Computer Science
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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