Motivation for hyperlink creation using inter-page relationships

Autor:	Kenekayoro, Patrick, Buckley, Kevan, Thelwall, Mike
Rok vydání:	2013
Předmět:	Computer Science - Digital Libraries Computer Science - Information Retrieval Computer Science - Social and Information Networks
Druh dokumentu:	Working Paper
Popis:	Using raw hyperlink counts for webometrics research has been shown to be unreliable and researchers have looked for alternatives. One alternative is classifying hyperlinks in a website based on the motivation behind the hyperlink creation. The method used for this type of classification involves manually visiting a webpage and then classifying individual links on the webpage. This is time consuming, making it infeasible for large scale studies. This paper speeds up the classification of hyperlinks in UK academic websites by using a machine learning technique, decision tree induction, to group web pages found in UK academic websites into one of eight categories and then infer the motivation for the creation of a hyperlink in a webpage based on the linking pattern of the category the webpage belongs to. Comment: The 14th. Conference of the International Society for Scientometrics and. Informetrics (ISSI), Vienna, Austria
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1311.1082 Zobrazit plný text záznamu View this record from Arxiv