A Modularity Backbone Extraction Method for Weighted Complex Networks

International audienceThe exponential growth in the size of real-world networks is a major barrier to analyzing their structure and dynamics. Thus, reducing the network's size while maintaining its topological features is highly significant. As community structure is one of the fundamental fingerprints of real-world networks, this work proposes a new node-filtering backbone extraction method to preserve the network's community structure