|
Title:
|
USING SELF ORGANIZING MAP TO INFER COMMUNITIES IN WEBLOGS SOCIAL NETWORK |
|
Author(s):
|
Mohsen Jamali , Hassan Abolhassani , Majid Khalilian |
|
ISBN:
|
978-972-8924-40-9 |
|
Editors:
|
Jörg Roth, Jairo Gutiérrez and Ajith P. Abraham (series editors: Piet Kommers, Pedro Isaías and Nian-Shing Chen) |
|
Year:
|
2007 |
|
Edition:
|
Single |
|
Keywords:
|
Weblog, Link Structure, Community, SOM, Neural Network. |
|
Type:
|
Full Paper |
|
First Page:
|
58 |
|
Last Page:
|
64 |
|
Language:
|
English |
|
Cover:
|
|
|
Full Contents:
|
click to dowload 
|
|
Paper Abstract:
|
Nowadays users of the Web are encouraged to generate content on the Web by themselves. Weblogs are the most
popular tools to do this. In fact Weblogs are one kind of social networks and they are one of the most important
components in Web 2.0. Blogs are often situated within a Blog community of similar interest. These communities can be
a useful way for readers to access space slice of millions of Weblogs. In this paper we introduce a new algorithm to infer
communities based on their link structure. This algorithm uses self organizing maps to identify communities among
Weblogs. The link pattern of each Weblog is the input for SOM. |
|
|
|
|
|
|
