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  3. Stellenbosch University (SUN)
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  5. Computer Science 114 (CS114)

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Summary CS114 - 1.6 Case Study Random Web Surfer
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Summaries from the "Introduction to Programming in Java" textbook to assist in quick studying and revision for tests and exams. Be sure to look at the bundles to buy several chapters at a much lower price. Please note these notes only include summaries for Chapter 1.6 and further summaries will be ...

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  • Chapter 1.6 (case study random web surfer)
  • June 23, 2021
  • 3
  • 2021/2022
  • Summary

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Input format
• Needed to structure the info in input files
• Assume there are n web pages numbered from 0 to n-1 90-10 rule
• Assume 90% of the time the
o Represent links with ordered pairs of these numbers random surfer clicks a random
1. Page containing the link link on the current page (each
2. Page to which it refers with = probability)
• Input format = input stream of integer (n) + sequence of pairs of integers • 10% of the time the random
surfer goes directly to a
• StdIn → treats all sequences of whitespace characters as a single delimiter
random page (all pages on web
o Can put one link per line or several links in one line have = probability)




Transition matrix
• 2D matrix to specify behaviour of random
surfer
o n web pages
o n-by-n matrix
▪ Value in row i & column j =
probability that random surfer
moves to page j when on page i
• Write code that can create this matrix for any
given input
o Read n & create arrays counts[][] and
outDegrees[]
o Read links & build counts so counts[i][j]
counts the links from I to j &
outDegrees[i] counts the links from i to
anywhere
o Use 90-10 rule to compute the
probabilities
• Program 1.6.1: filter that reads a graph from
standard input & prints associated transition
matrix to standard output
• Significant because each row represents a
discrete probability distribution (elements fully
specify behaviour of surfing to each page)
• Output defines file format for matrices
(numbers of rows & cols + values of matrix
elements in row-major order)




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