title: How can Modularity help in Network Analysis
body: <p>I have a large network of routers all interconnected in a community network. I am trying to see different ways in which i could analyse this network and gain helpful insights and ways in which it could be improved just by analyzing the graph(using gephi). So i came across this measure called <a href="http://en.wikipedia.org/wiki/Modularity_%28networks%29" rel="noreferrer">"Modularity"</a> which is defined as :</p>
  
  <p><em>to measure the strength of division of a network into modules (also called groups, clusters or communities). Networks with high modularity have dense connections between the nodes within modules but sparse connections between nodes in different modules.</em></p>
  
  <p>My question is, what can i learn by from the network by using the "Modularity" measure ? When i use it in gephi for example, the network is colored per segments but how could it be helpful ?</p>