1,393,431 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
Defining E-Novation
"E-Novation" is defined as a combination innovation and e-marketing enabled by new collaborative platforms that are being developed and released using Web 2.0 methodologies, allowing for a different level of connectivity around the world. This chapter explores innovation and its contribution to firm performance, links to market orientation-and development of a new collaborative information platform to support innovation. E-marketing is also defined in terms of marketing in computer-mediated environments with emphasis on service-dominant logic (SDL) and collaborative value creation approaches. Aspects of the evolving new collaborative information platform such as the Semantic Web and Web 2.0 applications are discussed from e-marketing and innovation perspectives. Will "e-novation" challenge businesses to rethink how their employees will create or participate in collaborative groups with others where future revenue prospects appear to mainly from service development? This question is also explored through subsequent chapters in the book
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
[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
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
Thermal conductivity of soils for energy foundation applications
Ground source heat pumps are a low-carbon method of providing space heating. Thermal energy is extracted by means of a heat transfer fluid pumped through a series of pipes buried in the ground. For new builds, construction costs can be minimised by installing the pipes within the building foundations, eliminating the need for further excavations. These are known as energy foundations. Designing such a system requires knowledge of the ground thermal properties, in particular the thermal conductivity. This can be determined by conducting a field thermal response test, or by laboratory tests on soil samples. In this thesis, the thermal response test was compared to the needle probe and thermal cell laboratory methods. For each method, the main sources of error were investigated. Previously, the needle probe transient temperature data was analysed by visual inspection or rules of thumb. A new analysis method was developed and trialled on agar-kaolin samples, which reduces errors associated with the previous methods. The greatest source of error in the thermal cell method was identified as heat losses. A finite element model of the thermal cell showed that it overestimates the thermal conductivity by at least 35% due to heat losses. The needle probe was found to be the more reliable method. Both laboratory methods gave significantly lower values of thermal conductivity than the thermal response test. Possible reasons for this include differences in scale and sampling disturbances. The final stage of this research considered the required accuracy in soil thermal conductivity measurement for a well-designed energy foundation system. A numerical model of an energy foundation system was used to simulate different thermal loading scenarios. Variations in thermal conductivity had little effect on balanced systems, but had a significant impact on heating only or cooling only systems
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