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2011 International Conference of Information Technology, Computer Engineering and Management Sciences
Closeness Centrality on BBS Reply Network
Nanjing, China
September 24-September 25
ISBN: 978-0-7695-4522-6
ASCII Text
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Ke Zhang, Hui Li, Lijuan Qin, Min Wu, "Closeness Centrality on BBS Reply Network," Information Technology, Computer Engineering and Management Sciences, International Conference of, vol. 2, pp. 80-82, 2011 International Conference of Information Technology, Computer Engineering and Management Sciences, 2011.
 
 
BibTex
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@article{ 10.1109/ICM.2011.88,
author = {Ke Zhang and Hui Li and Lijuan Qin and Min Wu},
title = {Closeness Centrality on BBS Reply Network},
journal ={Information Technology, Computer Engineering and Management Sciences, International Conference of},
volume = {2},
year = {2011},
isbn = {978-0-7695-4522-6},
pages = {80-82},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICM.2011.88},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Information Technology, Computer Engineering and Management Sciences, International Conference of
TI - Closeness Centrality on BBS Reply Network
SN - 978-0-7695-4522-6
SP80
EP82
A1 - Ke Zhang,
A1 - Hui Li,
A1 - Lijuan Qin,
A1 - Min Wu,
PY - 2011
KW - degree
KW - node closeness centrality
KW - graph closeness centralization
KW - correlation
VL - 2
JA - Information Technology, Computer Engineering and Management Sciences, International Conference of
ER -
 
In this paper, a reply network was constructed with the data downloaded from SINA BBS. Based on the complex network theory, we firstly studied the node closeness centrality and graph closeness centralization of the reply network, and analyzed the influence of the central figure in reply network by studying the node closeness centrality. The leadership of the central figure was proved through experimental validation method. Then the correlation of degree and average closeness centrality was discussed. Finally, a conclusion was drawn that degree and average closeness centrality are positive correlation. Experimental results indicated that degree centrality and closeness centrality were effective measure in studying the center position and function of the nodes in BBS reply networks.
Index Terms:
degree, node closeness centrality, graph closeness centralization, correlation
Citation:
Ke Zhang, Hui Li, Lijuan Qin, Min Wu, "Closeness Centrality on BBS Reply Network," icm, vol. 2, pp.80-82, 2011 International Conference of Information Technology, Computer Engineering and Management Sciences, 2011
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