Abstract
The traditional community detection algorithms were always focusing on the node community, while some recent studies have shown great advantage of link community approach which partitions links instead of nodes into communities. Here, we proposed a novel algorithm LBLC (local based link community) to detect link communities in networks based on some local information. A local link community can be detected by maximizing a local link fitness function from a seed link, which was ranked by another algorithm previously. The proposed LBLC algorithm has been tested on both synthetic and real world networks. The experimental results showed LBLC achieves meaningful link community structure.
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Pan, L., Wang, C., Xie, J. (2012). Link Communities Detection via Local Approach. In: Li, T., et al. Rough Sets and Knowledge Technology. RSKT 2012. Lecture Notes in Computer Science(), vol 7414. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31900-6_36
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DOI: https://doi.org/10.1007/978-3-642-31900-6_36
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