1,721,027 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
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Assessing trust : contextual accountability
No full textThe need to assess the trustworthiness of a piece of information has become a prevalent issue due to web vandalism and the openness of platforms such as wikis. In this paper we introduce the notion of contextual accountability: Holding the author of a given statement accountable by deriving a path from the statement to the author’s credentials. We present our own trust vector model as a combination of the assessment of these credentials covering two aspects; knowledgeability and social acceptance. This model is put to the test using two datasets and the results are presented and discussed
Profiling user interests on the social semantic web
No full textThe World Wide Web is evolving towards an ecosystem of applications and services offering personalised content to its users. At the same time, the widespread adoption of social media led its users to provide portions of their personal data on several different services for socialisation or personalisation purposes. The automated extraction of users\u27 interests from personal Social Web data is becoming an essential part of the current Web applications for personalisation and recommendation. Such personalisation is required in order to provide an adaptive Web to users, where content fits their preferences, background and current interests, making the Web more social and relevant. Current techniques of personalisation systems analyse user activities on a social media system and collect sets of tags, entities or links to represent users\u27 interests. These sets representing users\u27 interests, also called user profiles of interests, are often missing a deeper "understanding" of the represented interests. Moreover, these user profiles cannot be easily exchanged between
social media systems, therefore lacking portability and interoperability of personal user information. As a remedy, we propose a complete methodology for profiling user interests that leverages Semantic Web technologies and provenance of Social Web data.
The Semantic Web represents a prominent recent approach attempting to provide the Web with a meaning not only people, but also machines
can process. We adopt Semantic Web technologies for creating a standard interoperable representation of user profiles of interests. This allows for aggregation of heterogeneous user models from different social websites, and knowledge enrichment about user entities of interest. Moreover, we leverage provenance management of Social Web data to retrieve complete information about data producers (either applications, software agents or users) and increase the accuracy of user profiles. Provenance of data can be considered as one of the core building blocks for establishing data quality measures, for enhancing the knowledge acquisition/filtering process, and the user profiling phase. We investigate and evaluate a set of heuristics for mining users\u27 interests from their social activities on heterogeneous social media websites and propose different approaches and measures for aggregating, enriching and ranking users\u27 concepts of interest. Finally, we evaluate our methodology for profiling user interests in a practical Web personalisation scenario
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
Mining for Social Serendipity
Full text linkA common social problem at an event in which people do not personally know all of the other participants is the natural tendency for cliques to form and for discussions to mainly happen between people who already know each other. This limits the possibility for people to make interesting new acquaintances and acts as a retarding force in the creation of new links in the social web. Encouraging users to socialize with people they don't know by revealing to them hidden surprising links could help to improve the diversity of interactions at an event. The goal of this paper is to propose a method for detecting "surprising" relationships between people attending an event. By "surprising" relationship we mean those relationships that are not known a priori, and that imply shared information not directly related with the local context of the event (location, interests, contacts) at which the meeting takes place. To demonstrate and test our concept we used the Flickr community. We focused on a community of users associated with a social event (a computer science conference) and represented in Flickr by means of a photo pool devoted to the event. We use Flickr metadata (tags) to mine for user similarity not related to the context of the event, as represented in the corresponding Flickr group. For example, we look for two group members who have been in the same highly specific place (identified by means of geo-tagged photos), but are not friends of each other and share no other common interests or, social neighborhood
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
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