Chiang, MF; Peng, WC; Lo, CH Discovering popular co-cited communities in blogspaces 2008 IEEE 24TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING WORKSHOP, VOLS 1 AND 2 439-444, 2008

[Eugene Garfield]

Email Address: g9309 at cs.nccu.edu.tw 

Author(s): Chiang, MF (Chiang, Meng-Fen); Peng, WC (Peng, Wen-Chih); Lo, 
CH (Lo, Chia-Hao) 

Title: Discovering popular co-cited communities in blogspaces 

Source: 2008 IEEE 24TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING 
WORKSHOP, VOLS 1 AND 2 439-444, 2008 

Language: English 

Document Type: Article 

Conference Title: 24th IEEE International Conference on Data Engineering 

Conference Date: APR 07-12, 2008 

Conference Location: Cancun, MEXICO 

Conference Sponsors: IEEE, invent, Microsoft, ORACLE, IBM, SAP, Google, 
YAHOO 

Abstract: 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. 

Addresses: Natl Chiao Tung Univ, Dept Comp Sci, Hsinchu, 300 Taiwan. 

Reprint Address: Chiang, MF, Natl Chiao Tung Univ, Dept Comp Sci, 1001 Ta 
Hsueh Rd, Hsinchu, 300 Taiwan. 

Cited Reference Count: 9 

Publisher Name: IEEE 

Publisher Address: 345 E 47TH ST, NEW YORK, NY 10017 USA 

ISBN: 978-1-4244-2161-9 

Source Item Page Count: 6 

ISI Document Delivery No.: BIA57 

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