1,721,073 research outputs found
Conversational Networks For Automatic Online Moderation
Figures used in the following articles :"Conversational Networks For Automatic Online Moderation", Etienne Papegnies, Vincent Labatut, Richard Dufour & Georges Linarès, IEEE Transactions on Computational Social Systems 6(1):38-55, 2019. DOI: 10.1109/tcss.2018.2887240"Abusive Language Detection in Online Conversations by Combining Content- and Graph-based Features", Noé Cécillon, Vincent Labatut, Richard Dufour & Georges Linarès, submitted to Soc2Net workshop 2019.</div
Nerwip Corpus
<p>This corpus contains 408 Wikipedia articles. Those are biographies, manually annotated to higlight entities of the following types: Dates, Locations, Organizations and Persons. It was designed to be used by our tool Nerwip (https://github.com/CompNet/nerwip), in order to evaluate and compare existing NER tools on biographic data.</p>
<p>It was constituted by Burcu Küpelioglu during her end of study project, and then cleaned and corrected by Samet Atdag during his MSc, to get a total of 250 articles (v3). Vincent Labatut then completed it further, to reach 408 articles (v4).</p>
<p>The dataset is shared under a Creative Commons 0 license. If you use it, please cite the following article: A Comparison of Named Entity Recognition Tools Applied to Biographical Texts, S. Atdag & V. Labatut, 2013. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6632052&tag=1</p>
<p>The other files are NER tools-related data (models, dictionaries, etc.), needed by Nerwip to detect entities. If you want to use the tool, you need to unzip these files as explained in the README file associated to Nerwip on GitHub.</p
Remembering Winter Was Coming: Character-oriented Video Summaries of TV Series
Figures used in the article "Remembering Winter Was Coming: Character-oriented Video Summaries of TV Series", Xavier Bost, Serigne Gueye, Vincent Labatut, Martha Larson, Georges Linarès, Damien Malinas & Raphaël Roth, Multimedia Tools and Applications, 2019.https://link.springer.com/article/10.1007/s11042-019-07969-4https://hal.archives-ouvertes.fr/hal-02278188https://arxiv.org/abs/1909.02423</div
Introduction to the special issue on Graphs & Social Systems
International audienceThe principle of the Journal of Interdisciplinary Methodologies and Issues in Science (JIMIS) is that each issue is a special one, dedicated to a specific topic and handled by guest editors. This issue (the second of the journal) focuses on the use of graphs (and associated analysis tools) to model and study social systems. The guest editors for this issue are Rosa Figueiredo and Vincent Labatut
Galatanet
<p>Galatanet datasets</p>
<p>2009-2010 by Jean-Michel Balasque ([email protected]) & Vincent Labatut<br>([email protected])<br>http://www.gsu.edu.tr</p>
<p>This dataset is open data: you can redistribute it and/or use<br>it under the terms of the Creative Commons Zero license (see license.txt).</p>
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<p>This project contains the datasets relative to the Galatanet survey, conducted in 2009 and<br>2010 at the Galatasaray University in Istanbul (Turkey). The goal of this survey was to<br>retrieve information regarding the social relationships between students, their feeling<br>regarding the university in general, and their purchase behavior. The survey was conducted<br>during two phases: the first one in 2009 and the second in 2010. For the moment, only the<br>data corresponding to the first phase are available here, because those from the second<br>phase will be used in some publication to come.</p>
<p>The dataset includes two kinds of data. First, the answers to most of the questions are<br>contained in a large table, available under both CSV and MS Excel formats. An explicative<br>file allows understanding the meaning of each field appearing in the table. Note the<br>survey form is also contained in the archive, for reference (it is in french and turkish<br>only, though). Second, the social network of students is available under both Pajek and<br>Graphml formats. having both individual (nodal attributes) and relational (links)<br>information in the same dataset is, to our knowledge, rare and difficult to find in public<br>sources, and this makes (to our opinion) this dataset interesting and valuable.</p>
<p>All data are completely anonymous: students' names have been replaced by random numbers.<br>Note the survey is not exactly the same between the two phases: some small adjustments<br>were applied thanks to the feedback from the first phase (but the datasets have been<br>normalized since then). Also, the electronic form was very much improved for the second<br>phase, which explains why the answers are much more complete than in the first phase.</p>
<p>If you use this data, please cite the following article: Labatut, V. & Balasque, J.-M.<br>(2010). Business-oriented Analysis of a Social Network of University Students. In:<br>International Conference on Advances in Social Network Analysis and Mining, 25-32. Odense,<br>DK : IEEE. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5562794</p>
<p>Note the data was used in other publications, too:<br>* An extended version of the original article: Labatut, V. & Balasque, J.-M. (2013).<br>Informative Value of Individual and Relational Data Compared Through Business-Oriented<br>Community Detection. Özyer, T.; Rokne, J.; Wagner, G. & Reuser, A. H. (Eds.), The<br>Influence of Technology on Social Network Analysis and Mining, Springer, 2013, chap.6,<br>303-330. http://link.springer.com/chapter/10.1007/978-3-7091-1346-2_13<br>* A more didactic article using some of these data just for illustration purposes:<br>Labatut, V. & Balasque, J.-M. (2012). Detection and Interpretation of Communities in<br>Complex Networks: Methods and Practical Application. Abraham, A. & Hassanien, A.-E.<br>(Eds.), Computational Social Networks: Tools, Perspectives and Applications, Springer,<br>chap.4, 81-113. http://link.springer.com/chapter/10.1007/978-1-4471-4048-1_4</p>
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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
Variations on the Author
“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
We 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
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
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