Browse wiki

Jump to: navigation, search
Monitoring propagations in the blogosphere for viral marketing
Abstract Even though blog contents vary a lot in quEven though blog contents vary a lot in quality, the disclosure of personal opinions and the huge blogging population always attracts marketing..s attention on blog information. In this paper, we investigate how marketers can identify the information propagation in degree among blog communities. In this way, topic similarity, relatedness, and word repetition between leader and followers.. writing products are considered as the propagated information. The contribution of this paper is twofold. The work presented here is to show how blog content can be economically and feasibly analyzed by existing internet sources such as Wikipedia database and the usage of page return from a Japanese search engine. To this extent, this system, which combined in-link algorithms and text mining analyzes, tracing propagation channels and propagateable information allows analyzing the power of influences in viral marketing. We demonstrated the effectiveness of the system by applying blogger identification, topic identification, and the topic propagations.dentification, and the topic propagations.
Abstractsub Even though blog contents vary a lot in quEven though blog contents vary a lot in quality, the disclosure of personal opinions and the huge blogging population always attracts marketing..s attention on blog information. In this paper, we investigate how marketers can identify the information propagation in degree among blog communities. In this way, topic similarity, relatedness, and word repetition between leader and followers.. writing products are considered as the propagated information. The contribution of this paper is twofold. The work presented here is to show how blog content can be economically and feasibly analyzed by existing internet sources such as Wikipedia database and the usage of page return from a Japanese search engine. To this extent, this system, which combined in-link algorithms and text mining analyzes, tracing propagation channels and propagateable information allows analyzing the power of influences in viral marketing. We demonstrated the effectiveness of the system by applying blogger identification, topic identification, and the topic propagations.dentification, and the topic propagations.
Bibtextype article  +
Doi 10.4304/jetwi.4.1.94-105  +
Has author Meihui Chen + , Rubens N. + , Anma F. + , Okamoto T. +
Has keyword Blogs + , Content based propagation + , Page return of search engine + , Text mining + , Thesaurus + , Viral marketing + , Wikipedia +
Issn 17980461  +
Issue 1  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 94–105  +
Published in Journal of Emerging Technologies in Web Intelligence +
Title Monitoring propagations in the blogosphere for viral marketing +
Type journal article  +
Volume 4  +
Year 2012 +
Creation dateThis property is a special property in this wiki. 8 November 2014 00:25:56  +
Categories Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Journal articles  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 8 November 2014 00:25:56  +
DateThis property is a special property in this wiki. 2012  +
hide properties that link here 
Monitoring propagations in the blogosphere for viral marketing + Title
 

 

Enter the name of the page to start browsing from.