Year: 2008
Type: article
Abstract: Increasing recent empirical evidence indicates the extensive existence of heavy tails in the inter-event time distributions of various human behaviors. Based on the queuing theory, the Barabási model and its variations suggest the highest-priority-first protocol to be a potential origin of those heavy tails. However, some human activity patterns, also displaying heavy-tailed temporal statistics, could not be explained by a task-based mechanism. In this paper, different from the mainstream, we propose an interest-based model. Both the simulation and analysis indicate a power-law inter-event time distribution with exponent −1, which is in accordance with some empirical observations in human-initiated systems.
Source: New Journal of Physics
Authors: Xiao-Pu Han, Tao Zhou, Bing-Hong Wang
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $2,610
OpenAlex ID: W2164368775