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Map your own socio-semantic network or explore sub-communities using the <strong> interactive menu</strong> on the top of the webpage. Use the "refine" filters to select keywords and scholars matching your subjects of interests.
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The integration of <ahref="/print_jobs_directory.php"target="blank">job openings</a> in maps aims at increasing the visibility of new positions or new candidates. <small>[ <ahref="/jobmarket.html">more</a> ]</small>
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View our <ahref="/tips.html">tips</a> for best experience. This directory is <strong>open</strong> to everybody working in the field of Complex Systems science and Complexity science. Map and explore communities or generate a printable version of their directory.
Updated every few minutes.
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<li><ahref="/jobmarket.html">Soon a better job market integration: </a> announce new jobs and find people looking for a job</li>
<li><ahref="/community_tags.html">Community tags:</a> Map any workgroup or event audience and get the associated directory.</li>
<li>This beta version of Community Explorer 2 is open source!</a> For sysadmins, it's easy to deploy a new server like this one using docker (<ahref="https://github.com/moma/comex2/tree/master/setup/dockers">more info</a>).</li>
<h2class="oldstyle">Analyze the community structure and trends</h2>
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Our pie-chart directories allow you to explore <strong>scholars</strong>, <strong>keywords</strong> and <strong>affiliations</strong> statistics for any query.
<strong>Community Explorer</strong> maps your own socio-semantic network and enables to explore the complex systems researchers community.
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This <strong>registration form</strong> will allow us to update your database information and to create your *login credentials* in <ahref="https://{{ doors_connect }}/">the Doors platform (login portal of the institute)</a>.
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Only the first 3 sections contain the essential information we need for the map, the following ones are optional.
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<h3class="formcatfirst"> About your job and research </h3>
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The <strong>keywords</strong> and <strong>affiliation</strong> will count as similarities to identify your network neighbours. Just start typing... we have autocomplete!
The <strong>home page (url)</strong>, <strong>picture (url or file)</strong> and <strong>free description</strong> will allow your neighbours to know you a little better.
<strong>Community Explorer</strong> maps your own socio-semantic network and enables to explore the complex systems researchers community.
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This <strong>registration form</strong> will allow us to update your database information and to create your *login credentials* in <ahref="https://{{ doors_connect }}/">the Doors platform (login portal of the institute)</a>.
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<h3class="formcatfirst"> About your job and research </h3>
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The <strong>keywords</strong> and <strong>affiliation</strong> will count as similarities to identify your network neighbours. Just start typing... we have autocomplete!