1,721,006 research outputs found
SciTo Trends: Visualising Scientific Topic Trends
No full textMonitoring trends in scientific disciplines is a common task for researchers and other professionals in the broad research and academic community, like research and innovation policy makers and research fund managers. We demonstrate SciTo, a powerful tool that assists in the monitoring of trends in scientific disciplines. SciTo supports keyword-based search for the identification of scientific topics of interest and comparison of interesting topics to each other in terms of their popularity inside the academic community.
Full author list: Serafeim Chatzopoulos, Panagiotis Deligiannis, Thanasis Vergoulis, Ilias Kanellos, Christos Tryfonopoulos, Theodore Dalamaga
A Dataset of Scientific Topics
No full textThe automatic extraction of topics is a standard technique for summarizing text corpora from various domains (e.g., news articles, transport or logistic reports, scientific publications) that has several applications. Since, in many cases, topics are subject to continuous change there is the need to monitor the evolution of a set of topics of interest, as the corresponding corpora are updated. The evolution of scientific topics, in particular, is of great interest for researchers, policy makers, fund managers, and other professionals/engineers in the research and academic community. In this dataset, we provide a set of topics for scientific publications gathered from Crossref. The topics have been produced by performing a topic modeling analysis on two distinct sets of publications, each coming from a different time period.
Acknowledgements: This research was partially funded by project ENIRISST under grant agreement No. MIS 5027930 (co-financed by Greece and the EU through the European Regional Development Fund).Please cite: Panagiotis Deligiannis, Thanasis Vergoulis, Serafeim Chatzopoulos, and Christos Tryfonopoulos. 2021. Visualising Scientific Topic Evolution. In Companion Proceedings of the Web Conference 2021 (WWW '21 Companion), April 19–23, 2021, Ljubljana, Slovenia.ACM, New York, NY, USA, 6 pages.https://doi.org/10.1145/3442442.345137
A METHODOLOGY FOR THE AUTOMATIC CREATION OF MASSIVE CONTINUOUS QUERY DATASETS FROM REAL LIFE CORPORA
No full textIn the information filtering (or publish/ subscribe) paradigm, clients subscribe to a server with continuous queries that express their information needs while information sources publish documents to servers. Whenever a document is published, the continuous queries satisfying this document are found and notifications are sent to appropriate subscribed clients. Although information filtering has been in the research agenda for about half a century, there is a huge paradox when it comes to benchmarking the performance of such systems. There is a striking lack of a benchmarking mechanism (in the form of a large-scale standarised test collection of continuous queries and the relevant document publications) specifically created for evaluating filtering tasks. This work aims at filling this gap by proposing a methodology for automatically creating massive continuous query datasets from available document collections. We intend to publicly release all related material (including the software accompanying the proposed methodology) to the research community after publication
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
BIP! Finder: Facilitating Scientific Literature Search by Exploiting Impact-Based Ranking
No full textPresentation of the CIKM 2019 demo paper "BIP! Finder: Facilitating Scientific Literature Search by Exploiting Impact-Based Ranking".
Due to the rapidly increasing number of scientific articles, finding valuable work for further research has become tedious and time consuming. To alleviate this issue, search engines have used citation-based article impact ranking. However, most engines rely on very simplistic impact measures (usually the citation count) and make the problematic assumption that there is a one-size-fits-all impact measure. To address these problems, we present BIP! Finder, a search engine that facilitates the identification of valuable articles by exploiting two different impact measures, each capturing a different aspect of the article impact. In addition, BIP! Finder provides many useful features (article comparison, intuitive visualisations, article bookmarking mechanism, etc.) making it a powerful addition to the researcher’s toolbox.
Full author list for the paper: Thanasis Vergoulis, Serafeim Chatzopoulos, Ilias Kanellos, Panagiotis Deligiannis, Christos Tryfonopoulos, Theodore Dalamagas</p
Variations on the Author
Get PDF“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
Get PDFWe 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
Get PDFWe 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
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