In Social Network analysis (SNA), we have a structure called Graphs, which has nodes and lines connecting those nodes. These lines are called edges. There is a metric in Graphs called distance. In an ideal Graph in SNA, each node should be connected to all of the other nodes, that is distance should be one. In this paper we are suggesting a Graph of scientific terminologies. There is a content corresponding to each scientific terminology and that content has tags (keywords). So the distance of the terminology to the tags of its content is one. Now those tags have their own content. So we have a Graph of terminologies. What we suggest is that as we build up the content in the website, we try to reduce the distance between the tags. This process in Graph terminology is called completing the Graph.So we are suggesting a Content Management System, where we want to build up quality scientific content. Apart from reducing the distance, we propose a method of making a linear list of tags, which linearizes the task of literature search. We discuss in the paper the advantages of the linearizing process.