InDegree Analysis: Difference between revisions

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(Created page with "{{DISPLAYTITLE:InDegree Analysis (Link Analysis)}} == Description == A simple heuristic that can be viewed as the predecessor of all Link Analysis Ranking algorithms is to rank the pages according to their popularity (also referred to as visibility (Marchiori 1997)). The popularity of a page is measured by the number of pages that link to this page. We refer to this algorithm as the InDegree algorithm, since it ranks pages according to their in-degree in the graph $G$....")
 
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== Time Complexity graph ==  
== Time Complexity Graph ==  


[[File:Link Analysis - InDegree Analysis - Time.png|1000px]]
[[File:Link Analysis - InDegree Analysis - Time.png|1000px]]


== Space Complexity graph ==  
== Space Complexity Graph ==  


[[File:Link Analysis - InDegree Analysis - Space.png|1000px]]
[[File:Link Analysis - InDegree Analysis - Space.png|1000px]]


== Pareto Decades graph ==  
== Pareto Frontier Improvements Graph ==  


[[File:Link Analysis - InDegree Analysis - Pareto Frontier.png|1000px]]
[[File:Link Analysis - InDegree Analysis - Pareto Frontier.png|1000px]]

Revision as of 13:05, 15 February 2023

Description

A simple heuristic that can be viewed as the predecessor of all Link Analysis Ranking algorithms is to rank the pages according to their popularity (also referred to as visibility (Marchiori 1997)). The popularity of a page is measured by the number of pages that link to this page. We refer to this algorithm as the InDegree algorithm, since it ranks pages according to their in-degree in the graph $G$. That is, for every node $i$, $a_i = |B(i)|$.

Related Problems

Related: Link Analysis

Parameters

No parameters found.

Table of Algorithms

Name Year Time Space Approximation Factor Model Reference
The INDEGREE Algorithm 1997 $O(m^{2} n )$ $O(n)$ Exact Deterministic Time

Time Complexity Graph

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Space Complexity Graph

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Pareto Frontier Improvements Graph

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