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Closeness Centrality on BBS Reply Network

Authors: Ke Zhang; Hui Li; Lijuan Qin; Min Wu;

Closeness Centrality on BBS Reply Network

Abstract

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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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