Discovering popular co-cited communities in blogspaces

Meng Fen Chiang*, Wen-Chih Peng, Chia Hao Lo

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


In a blogspace, citation behaviors reflect interests of bloggers. To fully get insight into the latent information in a blogspace, in this paper, we intend to mine popular co-cited communities consisting of core sets and follower sets. In such a cocited community, bloggers in the core set are frequently cited by bloggers in the follower set and the co-citation behaviors among bloggers are very intensive. Through co-citations, not only the popular core-set nodes but also the followers can be discovered. As such, one could effectively obtain the trends of discussion among bloggers. Explicitly, two kinds of co-cited communities are exploited: perfect co-cited community and approximate co-cited community. Given a blogspace, we first transform this blogspace into a transaction database. Then, by exploring frequent closed itemsets, we are able to discover perfect co-cited communities. Then, a greedy algorithm is proposed to derive approximate co-cited communities. To evaluate our community structures mined, we conduct extensive experiments on dataset. The experimental results demonstrate the effectiveness of our proposed framework.

Original languageEnglish
Title of host publicationProceedings of the 2008 - IEEE 24th International Conference on Data Engineering Workshop, ICDE'08
Number of pages6
StatePublished - 1 Sep 2008
Event2008 - IEEE 24th International Conference on Data Engineering Workshop, ICDE'08 - Cancun, Mexico
Duration: 7 Apr 200812 Apr 2008

Publication series

NameProceedings - International Conference on Data Engineering
ISSN (Print)1084-4627


Conference2008 - IEEE 24th International Conference on Data Engineering Workshop, ICDE'08

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