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Earthquake Patterns Identification Based on Network Centrality Measurements and Earthquake Type

To obtain a simple path or all possible paths within a network, we can utilize the library package in tools such as R studio. Moreover, we can build a PROLOG program to explore more regarding the path. However, we must ensure first that the network or graph that we use has already been constructed based on our information needs. This paper use earthquake data as a case because the network construction of earthquake data is the challenging one. Using earthquake data of Indonesia from USGS, we model the network where a node represents one earthquake location, and a link represents a successor earthquake occurrence from source to target node. From the resulting graph, we use centrality measurements in network science to obtain earthquake patterns in a form of a path, such as to find a proper path towards a big one of earthquakes. We successfully construct the network, and its centrality measurements help us find the path.