Abstract
Credit card swiping is the behavior which people make a deal in POS with credit card. It is one of the simplest credit services. To research credit card swiping is helpful to understand temporal pattern of credit card swiping. In traditional views, human group behavior is random, irregular. However, the latest research presents that some human behaviors are predictable. Nowadays, researchers are analyzing different types of human behavior with human behavior dynamics methods. In this paper, we analyze credit card swiping temporal pattern. The empirical data is from a bank in Tianjin China. We analyze inter-credit time, and memory and burstiness phase diagram (M, B). Inter-credit time follows power-law distribution, and (M, B) mean value is at the range of human behavior (M, B) value.
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