Discovering popular co-cited communities in blogspaces

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

*此作品的通信作者

研究成果: Conference contribution同行評審

摘要

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 del.icio.us dataset. The experimental results demonstrate the effectiveness of our proposed framework.

原文English
主出版物標題Proceedings of the 2008 - IEEE 24th International Conference on Data Engineering Workshop, ICDE'08
頁面519-524
頁數6
DOIs
出版狀態Published - 2008
事件2008 - IEEE 24th International Conference on Data Engineering Workshop, ICDE'08 - Cancun, Mexico
持續時間: 7 4月 200812 4月 2008

出版系列

名字Proceedings - International Conference on Data Engineering
ISSN(列印)1084-4627

Conference

Conference2008 - IEEE 24th International Conference on Data Engineering Workshop, ICDE'08
國家/地區Mexico
城市Cancun
期間7/04/0812/04/08

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