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Modeling of the forwarding behavior in microblogging with adaptive interest |
| ZHOU Cangqi1,2, ZHAO Qianchuan1,2, LU Wenbo1,2 |
1. Center for Intelligent and Networked Systems, Department of Automation, Tsinghua University, Beijing 100084, China;
2. Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing 100084, China |
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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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| Keywords
microblogging
forwarding behavior
modeling
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Issue Date: 15 November 2015
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2015,
Vol. 55
