Modeling of the forwarding behavior in microblogging with adaptive interest

ZHOU Cangqi; ZHAO Qianchuan; LU Wenbo

doi:10.16511/j.cnki.qhdxxb.2015.21.007

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Journal of Tsinghua University(Science and Technology) ›› 2015, Vol. 55 ›› Issue (11) : 1163-1170. DOI: 10.16511/j.cnki.qhdxxb.2015.21.007

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Modeling of the forwarding behavior in microblogging with adaptive interest

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Abstract

The emergence of social media has given rise to research on how online users behave. This paper describes how users forward messages in microblogging services. The results shed light on the factors affecting user decisions. A precise description of user forwarding behavior can also support the intervention and control of information spreading. The lengths of activity periods in existing human dynamic models with adaptive interest were used to develop a modified model to describe user forwarding dynamics in microblogging services. This model takes into account both the differences in the durations of the activity cycles and the effect of circadian rhythms. The distribution of the time intervals between successive forwarding activities is heavy-tailed in the real data. The simulation results are consistent with the distribution in the real data which demonstrates the effectiveness and flexibility of this model.

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microblogging / forwarding behavior / modeling

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ZHOU Cangqi, ZHAO Qianchuan, LU Wenbo. Modeling of the forwarding behavior in microblogging with adaptive interest[J]. Journal of Tsinghua University(Science and Technology). 2015, 55(11): 1163-1170 https://doi.org/10.16511/j.cnki.qhdxxb.2015.21.007

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