A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit <a rel="external noopener" href="http://clementrenaud.com/uploads/phD/thesis.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
We develop a data mining and visualisation toolkit to study how the information is shared on online social network services. This software allows to observe relationships between conversational, semantical, temporal and geographical dimensions of online communication acts.Internet memes are short messages that spread quickly through the Web. Following models that remain largely unknown, they articulate personal discussions, societal debates and large communication campaign. We analyse a set of<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jrqaylemdrhffn57nhmjhfxpri">fatcat:jrqaylemdrhffn57nhmjhfxpri</a> </span>
more »... nternet memes by using methods from social network analysis and Chinese natural language processing on a large corpus of 200 million tweets which represents/reflects the overall activity on the Chinese social network Sina Weibo in 2012. An interactive visualisation interface showing networks of words, user exchanges and their projections on geographical maps provides a detailed understanding of actual and textual aspects of each meme spread.
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180424082810/http://clementrenaud.com/uploads/phD/thesis.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/35/ce/35ce54a14a8c41559cf4392daaa483b6414c3c7f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a>