<p><div><div><div><div data-width="100" data-show-faces="false" data-send="true" data-layout="button_count" data-height="21" data-href="https://www.r-bloggers.com/network-analysis-part-2-exercises/"></div></div><div><a data-url="https://www.r-bloggers.com/network-analysis-part-2-exercises/" data-counturl="https://www.r-bloggers.com/network-analysis-part-2-exercises/" data-count="horizontal" data-text="Network Analysis Part 2 Exercises" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
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(This article was first published on <strong><a href="http://r-exercises.com/2016/10/02/network-analysis-part-2-exercises/"> R-exercises</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p><a target="_blank" href="http://r-exercises.com/wp-content/uploads/2016/09/diameter.png?x61433"><img sizes="(max-width: 300px) 100vw, 300px" alt="diameter" class="wp-image-2066" src="https://i2.wp.com/r-exercises.com/wp-content/uploads/2016/09/diameter-300x300.png?resize=300%2C300" data-recalc-dims="1"></a>In this set of exercises we shall practice the functions for network statistics, using package <code>igraph</code>.If you don’t have package already installed, install it using the following code:</p>
<p><code><br>
install.packages(&quot;igraph&quot;)<br>
</code></p>
<p>and load it into the session using the following code:</p>
<p><code><br>
library(&quot;igraph&quot;)<br>
</code></p>
<p>before proceeding. You can find more info about the package and graphs in general <a target="_blank" href="http://igraph.org/r/">here</a></p>
<p>Answers to the exercises are available <a target="_blank" href="http://r-exercises.com/2016/10/02/network-analysis-part-2-solutions/">here</a>.</p>
<p>If you have different solution, feel free to post it.</p>
<p>A number of employees in a factory was interviewed on a question: “Do you like to work with your co-worker?”. Possible answers are 1 for <i>yes</i> and 0 for <i>no</i>. Each employee gave an answer for each other employee thus creating an adjecancy matrix. You can download the dataset from <a target="_blank" href="http://r-exercises.com/wp-content/uploads/2016/10/sociogram-employees-un.csv">here</a>.</p>
<p><strong>Exercise 1</strong></p>
<p>Load the data and create an unweighted directed graph from the adjecancy matrix. Name the nodes as letters A to Y. Set node color to yellow and shape to sphere. Set the edge’s color to gray and arrow size to 0.2.</p>
<p><strong>Exercise 2</strong></p>
<p>Plot the graph.</p>
<p><strong>Exercise 3</strong></p>
<p>Calculate network diameter and average closeness.</p>
<p><strong>Exercise 4</strong></p>
<p>Calculate average network betweenness.</p>
<p><strong>Exercise 5</strong></p>
<p>Calculate network density and average degree.</p>
<p><strong>Exercise 6</strong></p>
<p>Calculate network reciprocity and average transitivity.</p>
<p><strong>Exercise 7</strong></p>
<p>Calculate average eccentricity of the vertices. What is the average distance between two nodes?</p>
<p><strong>Exercise 8</strong></p>
<p>Find the hubs and plot graph with node’s size according to their hubs index. Which employee is the biggest hub?</p>
<p><strong>Exercise 9</strong></p>
<p>Find the authorities and plot graph with node’s size according to their authority index. Which employee is the biggest authority?</p>
<p><strong>Exercise 10</strong></p>
<p>Show the nodes that make diameter. Plot these nodes larger and in red. Plot edges on this path thicker in red.</p>
<p><div><div><div><div data-width="55" data-show-faces="false" data-send="true" data-layout="box_count" data-height="62" data-href="https://www.r-bloggers.com/network-analysis-part-2-exercises/"></div></div><div><a data-url="https://www.r-bloggers.com/network-analysis-part-2-exercises/" data-counturl="https://www.r-bloggers.com/network-analysis-part-2-exercises/" data-count="vertical" data-text="Network Analysis Part 2 Exercises" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
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