Follow the steps below: 1. Choose a Twitter tag active in the last two weeks. 2. Gather twitts on that tag using NodeXL program's "Import from Twitter Search Network". 3. Remove unwanted entries. Unwanted: that is, not in relation to the search tag. For example, when I searched Twitter network for \#Fabrika, there were some twitts that related to an actual factory but not to the TRT TV program called "Fabrika". Save your dataset as XLXS file. 4. In NodeXL, compute graph metrics and take a printout. Annotate the printout as "Graph Metrics for \#yourtag". 5. In NodeXL, display and take printouts of 3 different layouts of the network. Annotate each by the name of the layout algorithm. 6. Carry the cleaned data to UCINet and do the steps 4 \& 5 in UCINet as well. 7. Compare and comment on the ease of use of NodeXL and UCINet being precise. 8. Combine all the printouts, your dataset file, and your comment in a PDF file. Submit the PDF file as your project work in response to the project assignment in the Classroom