[SOLVED] python network Assignment #2 (10 points): Due March 1

Assignment #2 (10 points): Due March 1
1. Select a starting point, i.e. a user on Twitter, which could be yourself or somebody else.
2. Retrieve his/her friends, which should be a list of ids, and followers, which is another list of ids, perhaps using the get_friends_followers_id() function from the Cookbook, or your own program if you prefer. Note: When you use get_friends_followers_id() or its equivalent, you are allowed to set the maximum number of friends and followers to be 5000 (but no less), in order to save API calls, and hence your time.
3. Use those 2 lists from Step 2 to find reciprocal friends, which is yet another list of ids. (The definition of reciprocal friends can be found in my slides.) These are the distance-1 friends.
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Assignment #2 (10 points): Due March 1
4. From that list of reciprocal friends, select 5 most popular friends, as determined by their followers_count in their user profile. (I suggest you use the get_user_profile() function from the Cookbook to retrieve the user profiles of the reciprocal friends.)
5. Repeat this process (Steps 2, 3 & 4) for each of the distance-1 friends, then distance-2 friends, so on and so forth, using a crawler, until you have gather at least 100 users/nodes for your social network. Note: I suggest you modify the crawler (crawl_followers()) function from the Cookbook or my simplied crawler to do this. However, please note that either one of these 2 crawlers retrieves only followers. You need to modify it to get both followers and friends, in order to compute the reciprocal friends .
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Assignment #2 (10 points): Due March 1
6. Create a social network based on the results (nodes and edges) from Step 5, using the Networkx package, adding all the nodes and edges.
7. Calculate the diameter and average distance of your network, using certain built-in functions provided by Networkx (in 3.22 Distance Measures & 3.45 Shortest Paths, or your own functions if you prefer.
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Assignment #2 (10 points): Due March 1
Deliverables
a) Program output: Your program should out output Network size, in terms of numbers of nodes & edges, average distance & diameter. Save program output to a file.
b) Your program source code with comments describing each class, function or program segment. Make sure it runs. Also indicate which part is your own code. Note: reusing code from the textbook/cookbook, my slides, and any python libs is allowed, but you should cite your source.)
c) Put your program output file, source code (with comments), and any data file in a folder, zip it and submit the zipped folder via Blackboard.
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Grading Rubrics
Program not running: -3
Program crashed: -2 or -1 depending on when
Fewer than 100 nodes collected: less than 90: -0.5; additional -0.5 per 10 nodes less than 90
Diameter not (correctly) calculated: -1
Average distance not (correctly) calculated: -1
Network not created: -3
Network not created correctly: -2
Reciprocal friends not done correctly: -2
Top 5 reciprocal friends not done correctly: -2
No crawler: -3
Crawling not done correctly: -2
Low quality code, or no comments: -1
Other unforeseen issues: depends on the severity
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