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Lecture Notes in Computer Science
The growing popularity of online social networks gave researchers access to large amount of network data and renewed interest in methods for automatic community detection. Existing algorithms, including the popular modularity-optimization methods, look for regions of the network that are better connected internally, e.g., have higher than expected number of edges within them. We believe, however, that edges do not give the true measure of network connectivity. Instead, we argue that influence,doi:10.1007/978-3-642-14929-0_2 fatcat:mrhj3cq4onbhjmkhr7qnph3yyq