<p>Aka Social Data Acquisition and Social Graph Processing</p>

<p>Today, social networks are the first choice for marketing campaigns. They promise to serve well targeted, viral, highly customizable advertisement while getting direct customer feedback and engagement. The numbers generated by the Internet companies serving digital advertisements are astronomical: Google $43B (2012), Facebook $6B, etc…</p>

<p>In this context of online marketing through social networks, the tasks of this project are split in two parts, the first being more pragmatic (hands-on) and the second more theoretical:</p>

<ol>
  <li>Social Data Acquisition
    <ul>
      <li>Crawl a number of public APIs (Facebook, G+, Twitter, etc…)</li>
      <li>Store the data in a database</li>
      <li>Build a web interface to search through the data</li>
    </ul>
  </li>
  <li>Social Graph Processing
    <ul>
      <li>Starting from one given node in the graph (i.e. a particular company), the social graph will be quantified and analyzed.</li>
      <li>The different data sources (Facebook, Twitter, etc…) will be correlated to discover non obvious links (like sister entities, etc…) and interactions</li>
      <li>For instance A always retweet B which always retweet C; A, B and C are part of the same cluster</li>
    </ul>
  </li>
</ol>

<p>The goal of the project is to quantify and classify the marketing footprint of companies on social networks.</p>

<p>The student choosing this project will have the opportunity to acquire in-depth hands-on experience on state-of-the-art APIs, storage (graph or NoSQL database), graph processing and data mining.</p>