Human dynamics in repurchase behavior based on comments mining

Tian Yang, Xin Feng, Ye Wu, Shengfeng Wang and Jinghua Xiao

Physica A: Statistical Mechanics and its Applications, 2018, vol. 502, issue C, 563-569

Abstract: Hundreds of thousands of individual deals and comments are analyzed to ask: what kinds of patterns appear in their repurchase process? Our results suggest that, in the empirical description, the intervals between two consecutive purchases obey a power-law distribution. Notwithstanding a wide range of individual preferences, shoppers’ repurchase behaviors show some similar patterns, called long-scale quiet and short-scale emergence, and the alternating appearance of them form an endless chain in repurchase. In agreement with the empirical results, these short-scale and long-scale patterns suggest an adaptive model with alterable exponents complying with a power-law distribution. And it also implies that each user behaves his own intrinsic pattern such as unique repurchase intensity and silence-emergence cycle, which contributes to customer life-time value from the new view of dynamics and repurchase cycles.

Keywords: Human dynamics; Repurchase; Adaptive model; Alterable exponent; Power-law distribution (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:502:y:2018:i:c:p:563-569

DOI: 10.1016/j.physa.2018.02.137

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