1,721,028 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
Browsing recommendation based on the intertemporal choice model.
No full textBrowsing is an important but often inefficient information seeking strategy in information retrieval (IR). In this paper, we argue that an effective recommendation model can improve the user’s browsing experience. We propose to adapt the intertemporal choice model to model the browsing behaviour of the user. The model can be used to recommend a browsing path to the users. The proposed model is based on the assumption that the browsing recommendation problem is an intertemporal choice problem. Using a simulated interactive retrieval system on several standard TREC test collections, the experimental results show that the proposed model is promising in recommending good browsing paths to the user
Intertemporal choice for browsing in informational retrieval
Full text linkBrowsing is an important strategy for information seeking in information retrieval (IR). Usually, browsing is guided by the information need of a user, where the documents are chosen by anticipating whether they could satisfy the user's information need. Therefore, the effectiveness of browsing depends on the ability of the user to make the right decision. However, user is unfamiliar with the document collection and the models underlying the IR system. Due to this limitation, the user is unlikely to make an optimal decision for his/her browsing strategy. Such a problem can be overcome by incorporating a recommendation model to suggest a good browsing strategy for the user. A good recommendation model should be based on modelling the decision behaviour of the user. However, modelling such behaviour is problematic. In this thesis, the intertemporal choice model is adopted to model the browsing behaviour of the user. It is based on the assumption that browsing is an intertemporal choice problem. The effectiveness of modelling the browsing behaviour of the users is evaluated in the context of browsing on mobile devices and post retrieval browsing. First, an implicit RF system is proposed for mobile devices to overcome the limitations of the devices, namely the small screen size and the limited interaction capability. A number of implicit RF models and display strategies are investigated to find the optimal setting for the system. The results suggest that the implicit RF system can be effective provided that an effective browsing recommendation model is incorporated. For this purpose, a recommendation system based on the intertemporal choice model is proposed. The effectiveness of the model is measured by the median average precision (MAP) and the expected search length (ESL) to measure the cost of browsing of the recommended browsing strategy. Second, the effectiveness of the model is evaluated for post retrieval browsing in the context of the subtopic relevance retrieval application. Post retrieval browsing refers to the sequential assessment of the top retrieved documents. In this context, a topic consists of a set of subtopics and a document can be relevant to one and up to all subtopics. The aim of the model is to produce a ranking such that it will take as little as possible to cover all relevant subtopics by browsing through the ranks of the documents. The results from both evaluations suggest that the intertemporal choice model could be effective provided that the parameters associated with the model are optimised and the value of the documents used in the model is as accurate as possible
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
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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