<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1405-5546</journal-id>
<journal-title><![CDATA[Computación y Sistemas]]></journal-title>
<abbrev-journal-title><![CDATA[Comp. y Sist.]]></abbrev-journal-title>
<issn>1405-5546</issn>
<publisher>
<publisher-name><![CDATA[Instituto Politécnico Nacional, Centro de Investigación en Computación]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1405-55462016000100089</article-id>
<article-id pub-id-type="doi">10.13053/cys-20-1-2321</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Análisis de redes sociales: un caso práctico]]></article-title>
<article-title xml:lang="en"><![CDATA[Social Network Analysis: a Practical Case Study Abstract]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Kuz]]></surname>
<given-names><![CDATA[Antonieta]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Falco]]></surname>
<given-names><![CDATA[Mariana]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Giandini]]></surname>
<given-names><![CDATA[Roxana]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Tecnológica Nacional  ]]></institution>
<addr-line><![CDATA[La Plata Buenos Aires]]></addr-line>
<country>Argentina</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Nacional de La Plata Facultad de Informática ]]></institution>
<addr-line><![CDATA[La Plata Buenos Aires]]></addr-line>
<country>Argentina</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>03</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>03</month>
<year>2016</year>
</pub-date>
<volume>20</volume>
<numero>1</numero>
<fpage>89</fpage>
<lpage>106</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-55462016000100089&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-55462016000100089&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-55462016000100089&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Las redes sociales son consideradas como nuevos modos de socialización, a partir de ellas se puede tener una fuente de interacción entre las personas posibilitando la contextualización de fenómenos sociales entre los indivíduos y las relaciones inherentes que han surgido. Las diferentes herramientas computacionales junto con las métricas que brindan, sirven como base de conocimiento desde su aplicabilidad práctica sobre un tópico relevante como lo es el Análisis de Redes Sociales (ARS). Haciendo foco en Gephi como una herramienta de ARS, simple de usar y comprender en cuanto a métricas y visualizaciones, analizaremos un caso de estudio práctico en el ámbito educativo donde evaluaremos la dinámica de comunicación en un foro asíncrono dentro del contexto del ARS. Se evidenciará que las métricas del ARS y la visualización de la estructuración de los nodos y de las interacciones son una vía útil y potencialmente efectiva para analizar patrones de interacción en línea. Integrar esta aproximación del ARS al contexto educativo, es un medio que le permite al profesor detectar y diagnosticar el clima social e intervenir de acuerdo a los resultados obtenidos. Finalmente, determinaremos conclusiones acerca de esta metodología y su utilidad en este dominio, como así también las líneas de trabajo futuro.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Social networks are considered a new way of socialization; they can function as a source of interaction among people enabling contextualization of social phenomena between individuals and the emerged inherent relationships. Various computational tools along with the metrics they provide serve as a knowledge base while applied practically on such relevant topic as the Social Network Analysis (SNA). Focusing on Gephi as an SNA tool, simple to use and understand in terms of metrics and visualizations, we discuss a practical case study in education where we evaluate the dynamics of asynchronous communication in a forum within the context of SNA. It is evident that the SNA metrics and a display of the structure of the nodes and interactions are useful and potentially effective for an online analysis of interaction patterns. Integrating this SNA approach into the educational context will allow the teacher to detect and diagnose the social climate and act according to the results. Finally, we present conclusions concerning the methodology and its utility in this domain, as well as future lines of work.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Análisis de redes sociales]]></kwd>
<kwd lng="es"><![CDATA[herramientas software]]></kwd>
<kwd lng="es"><![CDATA[métricas]]></kwd>
<kwd lng="es"><![CDATA[redes sociales]]></kwd>
<kwd lng="es"><![CDATA[Gephi]]></kwd>
<kwd lng="en"><![CDATA[Social network analysis]]></kwd>
<kwd lng="en"><![CDATA[software tools]]></kwd>
<kwd lng="en"><![CDATA[metrics]]></kwd>
<kwd lng="en"><![CDATA[social network]]></kwd>
<kwd lng="en"><![CDATA[Gephi]]></kwd>
</kwd-group>
</article-meta>
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