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updated working with text tuto with proper titling
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‎docs/generated-html/en/book/custom.xls‎

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‎docs/generated-html/images/semantic-network-coloring-nodes.gdraw‎

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‎docs/generated-html/images/semantic-network-hiding-edges.gdraw‎

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‎docs/generated-html/resources/semantic-networks/project-completed.gephi‎

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‎docs/generated-html/resources/semantic-networks/pubmed_medline.zip‎

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‎docs/generated-html/working-with-text-en.html‎

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@@ -546,6 +546,9 @@ <h1>Working with text in Gephi</h1>
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<li><a href="#_visualizing_semantic_networks_with_gephi">Visualizing semantic networks with Gephi</a>
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<ul class="sectlevel3">
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<li><a href="#_1_downloading_a_dataset_for_this_tutorial">1. Downloading a dataset for this tutorial</a></li>
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<li><a href="#_2_managing_labels_size_and_colors">2. Managing labels size and colors</a></li>
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<li><a href="#_3_tuning_the_spatialization">3. Tuning the spatialization</a></li>
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<li><a href="#_4_exporting_an_image_of_the_network">4. Exporting an image of the network</a></li>
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</ul>
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<li><a href="#_more_tutorials_on_working_with_semantic_networks">More tutorials on working with semantic networks</a></li>
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<div id="preamble">
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<p>last modified: 2017-03-27</p>
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<p>last modified: 2017-03-28</p>
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<p>The logic is simple, and yet there are some refinements to discuss. It will be up to you to decide what&#8217;s preferable:</p>
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<h5 id="_if_2_terms_appear_several_times_strong_in_a_given_unit_of_text_strong_should_their_co_occurences_be_counted_several_times">If 2 terms appear several times <strong>in a given unit of text</strong>, should their co-occurences be counted several times?</h5>
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<h5 id="binary-counting">If 2 terms appear several times <strong>in a given unit of text</strong>, should their co-occurences be counted several times?</h5>
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<p>An example to clarify. Let&#8217;s imagine that we are interested in webpages discussing nanotechnology.
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We want to draw the semantic network of the vocabulary used in these web pages.</p>
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<p>should I count only <strong>one</strong> co-occurrence between <code>molecular</code> and <code>nanotechnology</code>, because it happened on this one web page?</p>
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<p>should I count only <strong>one</strong> co-occurrence between <code>molecular</code> and <code>nanotechnology</code>, because it happened on this one web page? This is called <strong>binary counting</strong></p>
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<p>or should I consider that <code>molecular</code> appears twice on this page, and <code>nanotechnology</code> three times, so <strong>multiple</strong> co-occurrences between these 2 terms should be counted, just on this page already?</p>
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<p>or should I consider that <code>molecular</code> appears twice on this page, and <code>nanotechnology</code> three times, so <strong>multiple</strong> co-occurrences between these 2 terms should be counted, just on this page already? This is called <strong>full counting</strong></p>
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<p>"social neuroscience" OR "neuroeco*" OR "decision neuroscience"</p>
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<p>&#8594; The query can be see <a href="https://www.ncbi.nlm.nih.gov/pubmed?term=(%22social%20neuroscience%22%20OR%20%22neuroeco*%22%20OR%20%22decision%20neuroscience%22)">online here</a>.
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<p>&#8594; The query can be seent at <a href="https://www.ncbi.nlm.nih.gov/pubmed?term=(%22social%20neuroscience%22%20OR%20%22neuroeco*%22%20OR%20%22decision%20neuroscience%22)">online here</a>.
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(it comprises more than 1484 results, because some articles have no abstract).</p>
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<p>Several steps will make this network intelligible</p>
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<h4 id="_2_managing_labels_size_and_colors">2. Managing labels size and colors</h4>
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<p>&#160;<br></p>
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<p>&#160;<br></p>
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<p>Reducing node size to the minimum (0.5) because we just need labels</p>
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<p>&#160;<br></p>
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<p>Detect communities with the "modularity" function in the statistics panel</p>
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<p>&#160;<br></p>
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<p>We then need to assign this node color to their labels:</p>
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<p>Apply 2 more layouts to enhance readability:</p>
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<h4 id="_4_exporting_an_image_of_the_network">4. Exporting an image of the network</h4>
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<div id="footer">
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Version 1.0<br>
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Last updated 2017-03-27 01:20:43 CEST
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Last updated 2017-03-28 13:11:11 CEST
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‎docs/generated-slides/en/book/custom.xls‎

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‎docs/generated-slides/images/semantic-network-hiding-edges.gdraw‎

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