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 | == Time Complexity Graph == | ||
[[File:Link Analysis - InDegree Analysis - Time.png|1000px]] | [[File:Link Analysis - InDegree Analysis - Time.png|1000px]] | ||
== Space Complexity | == Space Complexity Graph == | ||
[[File:Link Analysis - InDegree Analysis - Space.png|1000px]] | [[File:Link Analysis - InDegree Analysis - Space.png|1000px]] | ||
== Pareto | == 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
Space Complexity Graph
Pareto Frontier Improvements Graph
