Difference between revisions of "TDSM 4.5"

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(Created page with "part d: ranking universities We can rank universities in different department based on the activity of their people in Quora[https://www.quora.com/]. The steps in crawling t...")
 
 
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part d: ranking universities
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Part A: The countries of the world.
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Some of the Major parameters for Ranking are taken as:
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1) Population
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2) GDP
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3) Scenic Score
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4) Pleasant climate Score
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5) Citizenship Rank
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6) Progressive Score
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7) Gender equality Score
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8) Cares about the environment Score
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9) Cultural Influence Rank
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10) Skilled labor force Score
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11) Entrepreneurial Score
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12) Strong military Score
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13) Quality of Life Rank
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14) Economically stable Score
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15) Affordable Score
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16)Corrupt Score
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17) Happy Score
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US News Rankings
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[ https://www.usnews.com/news/best-countries/data-explorer]
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Part D: ranking universities
  
 
We can rank universities in different department based on the activity of their people in Quora[https://www.quora.com/].
 
We can rank universities in different department based on the activity of their people in Quora[https://www.quora.com/].

Latest revision as of 04:35, 21 December 2017

Part A: The countries of the world.

Some of the Major parameters for Ranking are taken as:

1) Population

2) GDP

3) Scenic Score

4) Pleasant climate Score

5) Citizenship Rank

6) Progressive Score

7) Gender equality Score

8) Cares about the environment Score

9) Cultural Influence Rank

10) Skilled labor force Score

11) Entrepreneurial Score

12) Strong military Score

13) Quality of Life Rank

14) Economically stable Score

15) Affordable Score

16)Corrupt Score

17) Happy Score


US News Rankings [ https://www.usnews.com/news/best-countries/data-explorer]


Part D: ranking universities

We can rank universities in different department based on the activity of their people in Quora[1].

The steps in crawling the data is as follow:

1. Find topics in different areas of interests.

2. For each topic crawl all the questions in that topics.

3. For each question crawl all the answers in that question.

4. For each answer we can record the information regarding to the responder. The information contains the number of upvotes the answer has achieved, the affiliation of the responder, the number of view that answer received by different people.

5. Data will need to be cleaned. People may have written their university name in different ways or they may have used abbreviation. The all should be integrated and normalized to avoid duplication.

6. By aggregating the records based on the university and topics, we can collect a rich data set containing more than 2500 universities and different scores for each topics and each university. For each pair (university,field) we have total number of views and upvotes. We can define a function based on number of views, number of upvotes and the number of active people in Quora for each university and then rank universities in each filed.

7. The ranking can be compared with different rankings such as QS ranking[2] for each field or [Google Scholar][3] ranking.

8. We crawled the information from google scholar and ranked the universities based on the citation they have in each filed.

9. These rankings can be compared. We found that in some filed like Electrical Engineering and Computer Science the rankings in google scholar and quora are correlated but for some filed like biology and physics they are not correlated.