To complete this assignment, please provide a detailed written summary of youranalysis of the US Congress network dataset. The data arehttps://drive.google.com/file/d/1Lv_2HGpd070MmEoglTn2M_piS0T949jE/view?usp=sharingRead them using the read.graph() command with format=GraphML as the argument.Specifically you need to: (Links to an external site.)1. Use the dataset to make a four social network maps using iGraph. The data arelinks between House members who served on a committee together. Additionalinformation in the network file arefrom https://www.govtrack.us/congress/members/report-cards/2019 (Links to anexternal site.)o VERTICESo cosponsored: the number of bills cosponsored by each legislator in 2019o party: the political party of the politiciano rank_from_high: the politician’s seniority rank among 437 total house memberso a,b,c,d: columns that name the committee affiliations of a politiciano oEDGESo cosponsored: see aboveo chamber: the House of Senate; all values are for the Houseo percentile: the percentile rank associated with a politician’s seniority in theHouse; see rank_from_high aboveo district: the geographic district (Links to an external site.) the politician representso committee assignments: see a, b, c, d aboveo2. NOTE: This is a very large network. Your first steps might well be to subset thisnetwork and focus on portions of it. Take advantage of the network attributes andnetwork statistics to subset it.3. Calculate different SNA statistics and use them as either node or edge attributes ofthe network.4. Use at least one factor and one numeric variable as attributes. This means youshould use factors/numerics as ways to adjust the color, shape, size of nodes andedges. You can create your own variables as appropriate.5. Include two ggplot visualizations of the network stats. Use ggrepel to label a subsetof data points.6. Remember to use techniques such as subsetting, side-by-side or faceted layouts.7. Include paths and cliques to analyze the data.
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