Abstract

Is it accidental or fate that people meet each other in space and time? If it is fate, what kind of scientific model does it contain? Mining the scientific model implied in ‘meet is fate’ is to analyse the correlation between ‘meet’ and ‘fate’, and to reveal its dynamics mechanism. ‘Meet’ is a kind of space-time interaction, and ‘fate’ is the prediction of future social relation, so the correlation analysis between ‘meet’ and ‘fate’ can be modelled as dynamic correlation analysis between space-time interaction and social relation of human group behaviour. How to achieve that from the original space-time behaviour data is a challenge. To address it, this article proposes a theoretical framework based on the theories and methods about geographic information science and complexity science. This article presents this framework for the first time to provide a feasible solution to verify and study this philosophical view of ‘meet is fate’ scientifically, and explores a meaningful research direction for the inter-cross application between geographic information science and human dynamics at the age of mobile big data.

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