Analysis and visualization of social media networks

People seek for ways to communicate with others by connecting, networking and promoting with one another. Before, they used handshakes, word-of-mouth communications, letters, and phones. Now, they form a network over social medium. social networking has taken a new shape and momentum in this digital age with internet access and faster connectivity. Today's relationships are being developed on LinkedIn, Google Plus, and Facebook. These social networks can be drawn as a graph and analyzed for various network measures. From these measures, the most prominent people, their relationship and their influence on other persons in the network can be observed. Similarly, graphs can be used as prototypes to illustrate many types of relations and processes in chemical, physical, biological, and information systems. Many real time scenarios can be depicted by graphs. In this paper, a dataset comprising of books about US politics have been represented as a network and analyzed for their importance based on the metrics such as betweenness, eigen vector, degree, and closeness.