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Modern social network analysis relies on vast quantities of data to infer new knowledge about human relations and communication. In this paper we describe TwitterEcho, an open source Twitter crawler for supporting this kind of research, which is characterized by a modular distributed architecture. Our crawler enables researchers to continuously collect data from particular user communities, while respecting Twitter's imposed limits. We present the core modules of the crawling server, some ofdoi:10.1145/2187980.2188266 dblp:conf/www/BoanjakOMRS12 fatcat:nahcnzkgybdjrat2vc63kcoh4a