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<li><ahref="#_b_general_interest_for_gephi_and_related_software_over_2004_2016">b. General interest for Gephi and related software over 2004 - 2016</a></li>
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<li><ahref="#_b_general_interest_for_gephi_and_related_software_in_the_past_5_years">b. General interest for Gephi and related software in the past 5 years</a></li>
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<li><ahref="#_c_academic_citations_for_gephi_counting_only_citations_to_a_href_http_www_aaai_org_ocs_index_php_icwsm_09_paper_download_154_1009_bastian_et_al_2009_a">c. Academic citations for Gephi (counting only citations to <ahref="http://www.aaai.org/ocs/index.php/ICWSM/09/paper/download/154/1009">Bastian et al., 2009</a>)</a></li>
<h4id="_b_general_interest_for_gephi_and_related_software_over_2004_2016">b. General interest for Gephi and related software over 2004 - 2016</h4>
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<h4id="_b_general_interest_for_gephi_and_related_software_in_the_past_5_years">b. General interest for Gephi and related software in the past 5 years</h4>
==== c. Academic citations for Gephi (counting only citations to http://www.aaai.org/ocs/index.php/ICWSM/09/paper/download/154/1009[Bastian et al., 2009])
//ST: 'Escape' or 'o' to see all sides, F11 for full screen, 's' for speaker notes
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== 2006 and Web Atlas
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//ST: History of Gephi
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== 1. The birth of Gephi
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//ST: 1. The birth of Gephi
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//ST: !
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The origin of Gephi lays in http://webatlas.fr/wp/[Web Atlas], a project started in 2006 involving https://www.linkedin.com/in/mathieu-jacomy-a38a552a/[Mathieu Jacomy], who was interested in the exploration of web-based graphs.
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This was about the same time http://www.cond.org/[Eytan Adar] was developing his https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0ahUKEwjljNmDtbrRAhXL6xQKHWDdDRMQFggcMAA&url=http%3A%2F%2Fgraphexploration.cond.org%2Fchi2006%2Fguess-chi2006.pdf&usg=AFQjCNETmuZqHoaZyJSYpSuTGQ87PNSCLA&sig2=ns0z9wqVRIo5riVtHv1QfQ[GUESS software]
In 2007/2008, this project morphed into Gephi, developed by a team of students at Université Technologique de Compiègne (https://www.utc.fr/en.html[UTC]).
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https://www.linkedin.com/in/mathieubastian/[Mathieu Bastian] became the software architect.
== A series of metrics on Gephi's popularity over time
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== 2. The evolution of Gephi
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//ST: 2. The evolution of Gephi
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//ST: !
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Gephi has evolved in several major milestones:
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- version 0.6 (2009): the initial public release. Contains already the filter system.
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-version 0.7 (2010): Major overhaul of the graphics interface. Started using OpenGL framework for graphics acceleration. A system of plugin is created.
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//ST: !
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==== a. version 0.6 (2009)
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//ST: !
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- the initial public release. Contains already the filter system.
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-version 0.8 (2011): Introduced dynamic graphs.
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==== b. version 0.7 (2010)
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2011 to 2016: Many plugins were created for Gephi, and the software started becoming much popular.
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//ST: !
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- Major overhaul of the graphics interface.
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- Started using OpenGL framework for graphics acceleration.
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- A system of plugin is created.
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Mac computer users had issues installing Gephi on their computers because of a Java compatibility issue.
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//ST: !
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==== c. version 0.8 (2011)
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//ST: !
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- Introduced dynamic graphs.
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- Many plugins were created for Gephi, and the software started becoming much popular.
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- Mac computer users had issues installing Gephi on their computers because of a Java compatibility issue.
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version 0.9 (December 2015):
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//ST: !
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==== d. version 0.9 (December 2015):
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//ST: !
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- A graph engine optimized for memory is introduced: Gephi can handle much larger graphs.
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- The codebase for the project is "mavenized", making the code more modular and easier to maintain.
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- Compatibility issues with Mac OS are solved.
@@ -63,13 +75,20 @@ In 2016, Gephi is translated in French, Spanish, Japanese, Russian, Polish,
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https://www.linkedin.com/in/eduardo-ramos-ib%C3%A1%C3%B1ez-b6231522/[Eduardo Ramos Ibáñez] is the maintainer of the code.
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== 3. A series of metrics on Gephi's popularity over time
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//ST: 3. A series of metrics on Gephi's popularity over time
//ST: Academic citations for Gephi (counting only citations to Bastian et al., 2009)
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//ST: !
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==== c. Academic citations for Gephi (counting only citations to http://www.aaai.org/ocs/index.php/ICWSM/09/paper/download/154/1009[Bastian et al., 2009])
Copy file name to clipboardExpand all lines: docs/generated-html/subdir/twitter-streaming-importer-en_temp_common.md
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//ST: !
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There are for the moment 3 Network Logics to choose from:
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There are for the moment 4 Network Logics to choose from:
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//ST: !
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* Full Twitter Network : This will represent **all** entities (User, Tweet, Hastags, URL, Media, Symbol etc...) as a graph.
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* User Network : This will represent the interaction between users. Any mentions, retweets or quotes between 2 users, will be represented. The size of the edge represent the number of interactions between 2 users.
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* Hashtag Network : This will create the network of hashtag.
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* Hashtag Network : This will create the network of Hashtags.
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* Emoji Network : Same as Hashtag Network but focused on Emoji characters ( original idea from http://dataneel.com[Neel Shivdasani] / @DataNeel ).
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//ST: !
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**Note for the Emoji Network ** : By default, the `Label` of Emoji nodes use the UTF-8 character representation. On the `Overview` and the `Previsualisation` panel, the lable display might not work with the default settings (you will see some square instead). To make it work, you need to use a font that support emoji. The **Segoe Emoji** font should be the one available by default on Win 10.
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For the moment, you **won't** be able to export the graph as **SVG** if you keep the UTF-8 character (PNG still works). But you can use the other emoji representation (html or alias) as label to export as SVG and apply post processing on it.
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image::en/twitter-streaming-importer/emoji-change-font.png[align="center", title="Change font for Emoji display"]
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//ST: !
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In the following, we use the network logic "User Network":
Copy file name to clipboardExpand all lines: docs/generated-html/subdir/twitter-streaming-importer-en_temp_pdf.md
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//ST: !
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There are for the moment 3 Network Logics to choose from:
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There are for the moment 4 Network Logics to choose from:
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//ST: !
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* Full Twitter Network : This will represent **all** entities (User, Tweet, Hastags, URL, Media, Symbol etc...) as a graph.
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* User Network : This will represent the interaction between users. Any mentions, retweets or quotes between 2 users, will be represented. The size of the edge represent the number of interactions between 2 users.
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* Hashtag Network : This will create the network of hashtag.
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* Hashtag Network : This will create the network of Hashtags.
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* Emoji Network : Same as Hashtag Network but focused on Emoji characters ( original idea from http://dataneel.com[Neel Shivdasani] / @DataNeel ).
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//ST: !
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**Note for the Emoji Network ** : By default, the `Label` of Emoji nodes use the UTF-8 character representation. On the `Overview` and the `Previsualisation` panel, the lable display might not work with the default settings (you will see some square instead). To make it work, you need to use a font that support emoji. The **Segoe Emoji** font should be the one available by default on Win 10.
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For the moment, you **won't** be able to export the graph as **SVG** if you keep the UTF-8 character (PNG still works). But you can use the other emoji representation (html or alias) as label to export as SVG and apply post processing on it.
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image::en/twitter-streaming-importer/emoji-change-font.png[align="center", title="Change font for Emoji display"]
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{nbsp} +
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//ST: !
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In the following, we use the network logic "User Network":
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