Detecting Communities in Science Blogs
Many scientists maintain blogs and participate in online communities through their blogs and other scientists' blogs. This study used social network analysis methods to locate and describe online communities in science blogs. The structure of the science blogosphere was examined using links bet...
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Published in | 2008 Fourth IEEE International Conference on EScience pp. 95 - 102 |
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Main Author | |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.12.2008
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Subjects | |
Online Access | Get full text |
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Summary: | Many scientists maintain blogs and participate in online communities through their blogs and other scientists' blogs. This study used social network analysis methods to locate and describe online communities in science blogs. The structure of the science blogosphere was examined using links between blogs in blogrolls and in comments. By blogroll, the blogs are densely connected and cohesive subgroups are not easily found. Using spin glass community detection, six cohesive subgroups loosely corresponding to subject area were found. By commenter links, the blogs form into more easily findable general subject area or interest clusters. |
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ISBN: | 9781424433803 1424433800 |
DOI: | 10.1109/eScience.2008.30 |