Strength of Co-authorship Ties in Clusters: A Comparative Analysis
نویسندگان
چکیده
We analyze the strength of ties through three different clustering algorithms applied to co-authorship social networks from three different research areas. This study reveals if tie strength metrics can be used to evaluate clusters quality. We obtain different results for each algorithm and observe that Markov cluster algorithm provides the best results for co-authorship social networks. Also, researchers in overlapped communities detected by clique percolation method work as bridges.
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