  Web is now the undisputed warehouse for information. It can now provide most
of the answers for modern problems. Search engines do a great job by combining
and ranking the best results when the users try to search for any particular
information. However, as we know 'with great power comes great responsibility',
it is not an easy task for data analysts to find the most relevant information
for the queries. One major challenge is that web search engines face
difficulties in recognizing users' specific search interests given his initial
query. In this project, we have tried to build query networks from web search
engine query logs, with the nodes representing queries and the edges exhibiting
the semantic relatedness between Queries.

Information Retrieval;Social and Information Networks