DocumentCode :
3637574
Title :
A Social Network Analysis and Mining Methodology for the Monitoring of Specific Domains in the Blogosphere
Author :
Darko Obradovic;Stephan Baumann;Andreas Dengel
Author_Institution :
German Res. Center for AI (DFKI), Univ. of Kaiserslautern, Kaiserslautern, Germany
fYear :
2010
Firstpage :
1
Lastpage :
8
Abstract :
Whenever the question arises how a product, a personality, a technology or some other specific entity is perceived by the public, the blogosphere is a very good source of information. This is what usually interests business users from marketing or PR. Modern search services offer a rich set of tools to monitor or track the blogosphere as a whole, but the analysis with respect to a certain domain is very limited. In this paper we lay some foundations to aggregate blog articles of a specific domain from multiple search services, to analyse the social authorities of articles and blogs, and to monitor the attention articles of the domain receive over time. These are the building blocks required for a monitoring application that presents users the currently most interesting articles. This methodology can be instantiated and combined with additional textual analysis methods to create highly automated business intelligence applications.
Keywords :
"Web sites","Internet","Information services","Monitoring","Search engines","Business","Measurement"
Publisher :
ieee
Conference_Titel :
Advances in Social Networks Analysis and Mining (ASONAM), 2010 International Conference on
Print_ISBN :
978-1-4244-7787-6
Type :
conf
DOI :
10.1109/ASONAM.2010.36
Filename :
5562795
Link To Document :
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