Hybrid Clustering by Integrating Text and Citation based Graphs in Journal Database Analysis. 2009 IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS

[Eugene Garfield]

Liu, XH; Yu, S; Moreau, Y; Janssens, F; De Moor, B; Glaenzel, W. 2009. Hybrid 
Clustering by Integrating Text and Citation based Graphs in Journal Database 
Analysis. 2009 IEEE INTERNATIONAL CONFERENCE ON DATA MINING 
WORKSHOPS (ICDMW 2009): 521-526. 

edited by Saygin, Y; Yu, JX; Kargupta, H; Wang, W; Ranka, S; Yu, PS; Wu, 
XD.presented at 9th IEEE International Conference on Data Mining in Miami 
Beach, FL, DEC 06-09, 2009.

Author Full Name(s): Liu, Xinhai; Yu, Shi; Moreau, Yves; Janssens, Frizo; De 
Moor, Bart; Glaenzel, Wolfgang
Language: English
Document Type: Proceedings Paper

Abstract: We propose a hybrid clustering strategy by integrating 
heterogeneous information sources as graphs. The hybrid clustering method is 
extended on the basis of modularity based Louvain method. We introduce two 
different approaches, graph coupling and graph fusion. The weights of these 
combined graphs are optimized with the criterion of maximizing the Average 
Normalized Mutual Information(ANMI). The methods are applied to obtain 
structural mapping of large scale Web of Science (WoS) journal database by 
integrating attribute based textual information and relation based citation 
information. From the experimental, the proposed graph combination scheme is 
compared with individual graph clustering, spectral clustering and Vector Space 
Model(VSM) based clustering methods.

Addresses: [Liu, Xinhai; Yu, Shi; Moreau, Yves; Janssens, Frizo; De Moor, Bart] 
Katholieke Univ Leuven, Dept Elect Engn, ESAT SCD, B-3001 Leuven, Belgium
Reprint Address: Liu, XH, Katholieke Univ Leuven, Dept Elect Engn, ESAT SCD, 
Kasteelpk Arenberg 10, B-3001 Leuven, Belgium.

E-mail Address: xinhai.liu at esat.kuleuven.be; shi.yu at esat.kuleuven.be; 
yves.moreau at unistra.fr; frizo.janssens at unistra.fr; bart.demoor at unistra.fr; 
Wolfgang.Glanzel at econ.kuleuven.ac.be
ISBN: 978-1-4244-5384-9
URL: http://dx.doi.org/10.1109/ICDMW.2009.65