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The MyShake project aims to build a global smartphone seismic network tofacilitate large-scale earthquake early warning and other applications byleveraging the power of crowdsourcing. The MyShake mobile application firstdetects earthquake shaking on a single phone. The earthquake is then confirmedon the MyShake servers using a "network detection" algorithm that is activatedby multiple single-phone detections. In this part one of the two paper series,we present a network detection algorithm and a simulation platform to testearthquake scenarios at various locations around the world. The proposednetwork detection algorithm is built on the DBSCAN classic spatial clusteringalgorithm, with modifications to take temporal characteristics into account andthe association of new triggers. We test our network detection algorithm usingreal data recorded by MyShake users during the M4.4 January 4th, 2018, Berkeleyand the M5.2 June 10th, 2016, Borrego Springs earthquakes to demonstrate thesystem's utility. In order to test the entire detection procedure and tounderstand the first order performance of MyShake in various locations aroundthe world representing different population and tectonic characteristics, wethen present a software platform which can simulate earthquake triggers inhypothetical MyShake networks. Part two of this paper series explores ourMyShake early warning simulation performance in selected regions around theworld.

Towards Global Earthquake Early Warning with the MyShake Smartphone Seismic Network Part 1 -- Detection algorithm and simulation platform