Mining influential bloggers: From general to domain specific

Yichuan Caiv, Yi Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations


With rapid development of web 2.0 technology and e-business, bloggers play significant roles in the whole blogosphere as well as the external world. Specially, the most influential bloggers can bring great business values to modern enterprise in multiple ways, by increasing market profits and enlarging business impacts. The bloggers' influences can be deployed only in a specific domain, e.g. computer companies only can utilize the influence bloggers' expertise in computer knowledge, not their expertise in modern art or others. Despite that several influential bloggers mining systems are available, none of them consider the domain specific feature and their evaluations are based on generic influence, which is not applicable for real application requirements, such as business advertisement, personalized recommendation and so on. In this paper, we propose an effective model to mine the top-k influential bloggers according to their interest domains and network proximity. We investigate an effective algorithm to evaluate a blogger's influence and develop a domain specific influential blogger mining system. The experiment results show that our system can effectively mine influential bloggers and is applicable to diverse applications.

Original languageEnglish (US)
Title of host publicationKnowledge-Based and Intelligent Information and Engineering Systems - 13th International Conference, KES 2009, Proceedings
Number of pages8
EditionPART 2
StatePublished - 2009
Externally publishedYes
Event13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2009 - Santiago, Chile
Duration: Sep 28 2009Sep 30 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume5712 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2009

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


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