In this paper, we combine robin and Local Indicators of Spatio-Temporal Association (LISTA) functions. robin is an R package to assess the robustness of the community structure of a network found by one or more methods to give indications about their reliability. We use it to propose a classification algorithm of events in a spatio-temporal point pattern, by means of the local second-order characteristics and the community detection procedure in network analysis. We demonstrate the proposed procedure on a real data analysis on seismic data.

Community detection of seismic point processes / Policastro, V; D'Angelo, N; Adelfio, G. - (2022), pp. 1516-1521. (Intervento presentato al convegno 51st Scientific Meeting of the Italian Statistical Society tenutosi a Caserta (Italy) nel June 22-24, 2022).

Community detection of seismic point processes

Policastro V;
2022

Abstract

In this paper, we combine robin and Local Indicators of Spatio-Temporal Association (LISTA) functions. robin is an R package to assess the robustness of the community structure of a network found by one or more methods to give indications about their reliability. We use it to propose a classification algorithm of events in a spatio-temporal point pattern, by means of the local second-order characteristics and the community detection procedure in network analysis. We demonstrate the proposed procedure on a real data analysis on seismic data.
2022
9788891932310
Community detection of seismic point processes / Policastro, V; D'Angelo, N; Adelfio, G. - (2022), pp. 1516-1521. (Intervento presentato al convegno 51st Scientific Meeting of the Italian Statistical Society tenutosi a Caserta (Italy) nel June 22-24, 2022).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/941739
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