Mining influential bloggers: From general to domain specific, from explicit to implicit

Yichuan Cai, Yi Chen

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

With the rapid development of web 2.0 technology and e-business, influential bloggers can bring great business values to modern enterprise by increasing market profits and enlarging business impacts. Despite that several systems are available for mining influential bloggers, they are oblivious to domain specific features and potential influence, which are critical for real application requirements. In this paper, we propose an effective model to mine top-k influential bloggers that considers not only post-reply relationships, external links and network proximity, but interest domains, as well as both explicit influence and implicit influence. We develop an influential blogger mining system based on the proposed model, and discuss business applications that can be benefited from these techniques. The experiment results show that our system can effectively mine influential bloggers.

Original languageEnglish (US)
Pages (from-to)223-233
Number of pages11
JournalInternational Journal of Knowledge-Based and Intelligent Engineering Systems
Volume16
Issue number4
DOIs
StatePublished - Dec 1 2012
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence

Keywords

  • Social network
  • computational advertising
  • data mining
  • influence modelling
  • link analysis
  • text mining

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