A Comparative Study of Link Analysis Algorithms

Palihawadana, Chamath; Poravi, Guhanathan

dc.contributor.author	Palihawadana, Chamath
dc.contributor.author	Poravi, Guhanathan
dc.date.accessioned	2020-05-27T17:43:20Z
dc.date.available	2020-05-27T17:43:20Z
dc.date.issued	2018
dc.identifier.citation	Palihawadana, C and Poravi, G (2018) ‘A Comparative Study of Link Analysis Algorithms’ In: 2018 8th International Conference on Intelligent Systems, Modelling and Simulation (ISMS), Kuala Lumpur, Malaysia. 8-10 May 2018. pp. 100-104 IEEE DOI: 10.1109/ISMS.2018.00028	en_US
dc.identifier.uri	https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8699279
dc.identifier.uri	https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8699279
dc.identifier.uri	http://dlib.iit.ac.lk/xmlui/handle/123456789/445
dc.description.abstract	With the advancement of technology, the internet has become a growing place with huge amounts of information. Retrieving information is not a hard task, but ranking the retrieved information according to the relevancy is a very complex task. Search engines provides users to query and assess results instantly. Behind these search engines there runs vast amounts of algorithms to give out the best results. One such algorithm type is the link analysis algorithms which is used to rank pages and content. This paper reviews and compares the most commonly used link analysis algorithms.	en_US
dc.publisher	IEEE	en_US
dc.subject	Link Analysis	en_US
dc.subject	Information Retrieval	en_US
dc.subject	Software algorithms	en_US
dc.title	A Comparative Study of Link Analysis Algorithms	en_US
dc.type	Article	en_US