Abstract
Human activities in temporal scale underlie the patterns of many social, technological, and economic phenomena. Here, we study the posting time interval of Sina microblog active users. It is found that not all the users follow the power-law distribution, but also exponential distribution and a bimodal combination of them. Based on the empirical analysis, we observe that human actions are the result of decision making probability for task execution. In this paper, we introduce a priority queue model. Different decision making probabilities can correspond to different individual activity patterns. The model can match well with the practical situation. Our findings provide insight into online social human activities at the individual level. Our analysis and model are likely to shed light on a wide range of phenomena in other complex systems.
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© 2015 Springer International Publishing Switzerland
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Qin, H., Gao, Q., Chen, W., Fei, L. (2015). Understanding Posting Patterns in Microblog User Activities. In: Zu, Q., Hu, B., Gu, N., Seng, S. (eds) Human Centered Computing. HCC 2014. Lecture Notes in Computer Science(), vol 8944. Springer, Cham. https://doi.org/10.1007/978-3-319-15554-8_72
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DOI: https://doi.org/10.1007/978-3-319-15554-8_72
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