305,237 research outputs found

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

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    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

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    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

    Hubungan Berbagai Faktor Lingkungan dan Umur terhadap Biomassa Eucalyptus Urograndis

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    RUDIANTO GURNING : Relationships Various Environmental Factors and Age Against Biomass Plant Eucalyptus urograndis , Under the supervision of SITI LATIFAH and KANSIH SRI HARTINI. Environmental factors is one of the factors that affect tree biomass increment that can not be modified . Therefore, a research had been conducted on Eucalyptus urograndis in Estate A , Sector Aek Nauli , PT Toba Pulp Lestari Tbk . To see the relationship between the dependent variable, is the biomass of E. urograndis and independent variable, is the rainfall , elevation , slope , soil pH , soil type and age of the plant , it is done by multiple linear regression analysis . The results showed that a significant effect on the biomass increase was Eucalyptus urograndis rainfall , elevation and age of the plant , while soil pH , slope and soil type had no significant effect . Value of the correlation coefficient is 0.88 which indicates that there is a very strong relationship and a direct relationship between the dependent variable and independent variables .59 HalamanSkripsi SarjanaTesis Magiste

    Persepsi Pemangku Kepentingan Mengenai Potensi Pariwisata sebagai Pemerekan Kota Cirebon

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    In an effort to form city branding, the first step is a survey of perceptions and expectations about a region either from the local community itself as well as outside parties who have relevance to the area. Cirebon has great tourism potential to be developed as citybranding, but still unknown chances. Therefore, this research is conducted on tourist visitors as one of stakeholder to know their perception about Cirebon tourism potential to be a city brand. As a result, visitor perception is positive so policy makers can develop it as a strategy to form citybranding of Cirebon Municipal City. To cite this article (7th APA style): Mihardja, E. J. & Rudianto, D. (2018). Persepsi Pemangku Kepentingan Mengenai Potensi Pariwisata Sebagai Pemerekan Kota Cirebon [Stakeholder's Perception about Citybranding Potentials of Cirebon]. Journal Communication Spectrum, 8(1), 56-71. http://dx.doi.org/10.36782/jcs.v8i1.181

    [Report to Chief J. E. Curry, by an unknown author #2]

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    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]

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    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

    Mining e-mail content for author identification forensics

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    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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