Directed Graph Analysis Algorithm: Difference between revisions

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A [[Directed Graph Analysis Algorithm]] is a [[graph analysis algorithm]] that can be implemented by a [[directed graph analysis system]] to solve a [[directed graph analysis task]].
A [[Directed Graph Analysis Algorithm]] is a [[graph analysis algorithm]] that can be implemented by a [[directed graph analysis system]] to solve a [[directed graph analysis task]].
* <B>AKA:</B> [[Link Analysis Method]].  
* <B>AKA:</B> [[Link Analysis Method]].
* <B>Context</U>:</B>
* <B>Context</U>:</B>
** It can be a [[Domain Dependent Algorithm]], such as a [[Social Network Analysis Algorithm]].
** It can be a [[Domain Dependent Algorithm]], such as a [[Social Network Analysis Algorithm]].
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=== 2009 ===
=== 2009 ===
* http://en.wikipedia.org/wiki/Network_theory
* http://en.wikipedia.org/wiki/Network_theory
** '''Network theory</B> is an area of [[Computer Science|computer science]] and [[Network Science|network science]] and part of [[Graph Theory|graph theory]]. It has application in many disciplines including [[particle physics]], [[computer science]], [[biology]], [[economics]], [[operations research]], and [[sociology]]. Network theory concerns itself with the study of [[graph (mathematics)|graphs]] as a representation of either [[Symmetric Relation|symmetric relations]] or, more generally, of [[Directed Graph| asymmetric relations]] between discrete objects. Applications of network theory include logistical networks, the [[World Wide Web]], [[gene regulatory network| gene regulatory networks]], metabolic networks, [[social network]]s, [[epistemological]] networks, etc.  
** '''Network theory</B> is an area of [[Computer Science|computer science]] and [[Network Science|network science]] and part of [[Graph Theory|graph theory]]. It has application in many disciplines including [[particle physics]], [[computer science]], [[biology]], [[economics]], [[operations research]], and [[sociology]]. Network theory concerns itself with the study of [[graph (mathematics)|graphs]] as a representation of either [[Symmetric Relation|symmetric relations]] or, more generally, of [[Directed Graph| asymmetric relations]] between discrete objects. Applications of network theory include logistical networks, the [[World Wide Web]], [[gene regulatory network| gene regulatory networks]], metabolic networks, [[social network]]s, [[epistemological]] networks, etc.
* http://en.wikipedia.org/wiki/List_of_network_theory_topics
* http://en.wikipedia.org/wiki/List_of_network_theory_topics


=== 2001 ===
=== 2001 ===
* ([[2001_StableAlgorithmsForLinkAnalysis|Ng et al., 2001]]) ⇒ [[Andrew Y. Ng]], Alice X. Zheng, and [[Michael I. Jordan]]. ([[2001]]). “Stable Algorithms for Link Analysis.” In: Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR 2001). [http://dx.doi.org/10.1145/383952.384003 doi:10.1145/383952.384003]  
* ([[2001_StableAlgorithmsForLinkAnalysis|Ng et al., 2001]]) ⇒ [[Andrew Y. Ng]], Alice X. Zheng, and [[Michael I. Jordan]]. ([[2001]]). “Stable Algorithms for Link Analysis.” In: Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR 2001). [http://dx.doi.org/10.1145/383952.384003 doi:10.1145/383952.384003]  
** QUOTE: The [[Kleinberg HITS]] and the [[Google PageRank algorithm]]s are [[eigenvector methods]] for [[identifying]] “[[authoritative]]'' or “[[influential]]'' [[articles]], given [[hyperlink]] or [[citation information]].  
** QUOTE: The [[Kleinberg HITS]] and the [[Google PageRank algorithm]]s are [[eigenvector methods]] for [[identifying]] “[[authoritative]]'' or “[[influential]]'' [[articles]], given [[hyperlink]] or [[citation information]].


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Revision as of 18:52, 1 August 2022

A Directed Graph Analysis Algorithm is a graph analysis algorithm that can be implemented by a directed graph analysis system to solve a directed graph analysis task.



References

2009

2001