A Simplified Algorithm for Identifying Abnormal Changes in Dynamic Networks
Bouchaib Azamir,
Driss Bennis,
Bertrand Michel
Abstract:Topological data analysis has recently been applied to the study of dynamic networks. In this context, an algorithm was introduced and helps, among other things, to detect early warning signals of abnormal changes in the dynamic network under study. However, the complexity of this algorithm increases significantly once the database studied grows. In this paper, we propose a simplification of the algorithm without affecting its performance. We give various applications and simulations of the new algorithm on so… Show more
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