Author: Marianna Milano; Mario Cannataro
Title: Statistical and network-based analysis of Italian COVID-19 data: communities detection and temporal evolution Document date: 2020_4_22
ID: 6n88mcbf_30
Snippet: Then, starting from the ten networks related to all five weeks, we wanted to identify which regions form a community from the similarity point of view. For this, we applied Walktrap community finding algorithm [7] that identifies densely connected subgraphs, i.e communities, in a graph via random walks. The idea is that short random walks tend to stay in the same community......
Document: Then, starting from the ten networks related to all five weeks, we wanted to identify which regions form a community from the similarity point of view. For this, we applied Walktrap community finding algorithm [7] that identifies densely connected subgraphs, i.e communities, in a graph via random walks. The idea is that short random walks tend to stay in the same community.
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