Blog popularity mining using social interconnection analysis

Chih Lu Lin, Hung Yu Kao

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)


Analyzing interconnections among blog communities reveals blogger behaviors that could help in assessing blog quality. A new approach to ranking blogs uses a social blog network model based on blogs' interconnection structure and a popularity ranking method, called BRank. Experiments show that the proposed method can discriminate blogs with various degrees of popularity in the blogosphere.

Original languageEnglish
Article number5432133
Pages (from-to)41-49
Number of pages9
JournalIEEE Internet Computing
Issue number4
Publication statusPublished - 2010 Jul

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications


Dive into the research topics of 'Blog popularity mining using social interconnection analysis'. Together they form a unique fingerprint.

Cite this