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We use twitter data from 7 days before and after the Tōhoku Earthquake to explore how cooperation rates, social network structure and connectivity, and social network vulnerability changed in Japan in response to the disaster. An English language data set is collected for the same time period to use as a control. A network is constructed based on evidence of direct communication between two twitter users, using only directed messages and re-tweets. The rate of cooperative behavior, measured by the occurrence of helping words in tweets increases slightly in the English dataset and by an order of magnitude in the Japanese dataset. Network structure in the Japanese dataset changes dramatically, while the English dataset remains consistent. Host: Reid Predorsky, D-4: ENERGY & INFRASTRUCTURE ANALYSIS, 665-7816 |