307,441 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
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
Author, publisher and bookseller : a tripartite synergy in Nigerian book industry
This work is about the roles of Author, Publisher and Bookseller in Book development in
Nigeria. The paper started by delving into the history of Book Publishing in Nigeria after
which it proceeded by defining who an author, a publisher, and a bookseller is and
expatiated on the indispensable roles of these key actors in Nigerian Book Industry and in
the emerging Information Society. Furthermore, the various constraints to book
development were identified while the paper advised on how the Book Industry can be
further promoted in Nigeria. However, the paper concluded and made recommendations
on how the Book sector can help in enhancing scholarship in the country
An upper bound conjecture for the Yokota invariant
We conjecture an upper bound on the growth of the Yokota invariant of
polyhedral graphs, extending a previous result on the growth of the
-symbol. Using Barrett's Fourier transform we are able to prove this
conjecture in a large family of examples. As a consequence of this result, we
prove the Turaev-Viro Volume Conjecture for a new infinite family of hyperbolic
manifolds.Comment: 39 pages, 26 figures. Updated with new title and a stronger focus on
the upper bound conjecture; accepted for publication at Algebraic and
Geometric Topolog
Referências sobre a língua inglesa nos relatos de estudantes e egressos do curso de licenciatura em espanhol
This article is based on a broader study developed by Rodrigues and Yokota (2013) on the profile of licensed students in Languages-Spanish in São Paulo State. We present a cutout of data and deepened reading and analysis, basing ourselves on the Critical Discourse Analysis (CDA), on how the survey participants refer (or not) to the language. References on the English language show a strong influence of experience with this language in choosing the course of Spanish as a foreign language. The imagery created on foreign languages by Brazilian students is crossed by the experiences they had with the English language. Recognizing this foundational relationship, whether positive or negative, is necessary to establish the relationship with the new foreign language being studied or, in the case of university teachers of foreign languages, mediate student’s relationship with the new language.Este artigo está baseado em uma pesquisa mais ampla desenvolvida por Rodrigues e Yokota (2013) sobre o perfil do licenciando em Letras-Espanhol no estado de São Paulo. Nele apresentamos um recorte dos dados e aprofundamos a análise baseando-nos na Análise do Discurso Crítica (ADC) sobre como os participantes da pesquisa se referem (ou não) à língua inglesa. As referências a ela demonstram uma forte influência da experiência com este idioma na escolha do curso de espanhol como língua estrangeira. O imaginário criado sobre línguas estrangeiras por estudantes brasileiros é atravessado pela vivência que tiveram com a língua inglesa. Reconhecer esta relação fundante, seja ela positiva ou negativa, é necessário para posicionar-se em relação à nova língua estrangeira a ser estudada ou, no caso dos docentes universitários de línguas estrangeiras, mediar a interação do estudante com a nova língua
[Report to Chief J. E. Curry, by an unknown author #2]
Report to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
[Report to Chief J. E. Curry, by an unknown author #1]
Report to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
La danza nel futurismo : Giannina Censi e la danza moderna
application/pdfapplication/pdfapplication/pdf10311653 bytes179218 bytes179218 bytes学位論文(Thesis
Mining e-mail content for author identification forensics
We describe an investigation into e-mail content mining for author identification, or authorship attribution, for the purpose of forensic investigation. We focus our discussion on the ability to discriminate between authors for the case of both aggregated e-mail topics as well as across different email topics. An extended set of e-mail document features including structural characteristics and linguistic patterns were derived and, together with a Support Vector Machine learning algorithm, were used for mining the e-mail content. Experiments using a number of e-mail documents generated by different authors on a set of topics gave promising results for both aggregated and multi-topic author categorisation
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