On efficiently generating realistic social media timeline structures
C Yu, F Xia, W Qian, A Zhou, J Chang - Proceedings of the 26th …, 2014 - dl.acm.org
C Yu, F Xia, W Qian, A Zhou, J Chang
Proceedings of the 26th International Conference on Scientific and …, 2014•dl.acm.orgA framework of synthetic data generator to generate social media timeline structures is
proposed in this paper, which is useful for benchmarking query processing over social
media data, and validating hypothesis over users' behavior. It is flexible to generate
synthetic data with different distributions. With the help of its asynchronized parallel
processing model and delayed update strategy, it is efficient to feed out timeline structure
with high throughput. We show in experiments that our method can generate realistic social …
proposed in this paper, which is useful for benchmarking query processing over social
media data, and validating hypothesis over users' behavior. It is flexible to generate
synthetic data with different distributions. With the help of its asynchronized parallel
processing model and delayed update strategy, it is efficient to feed out timeline structure
with high throughput. We show in experiments that our method can generate realistic social …
A framework of synthetic data generator to generate social media timeline structures is proposed in this paper, which is useful for benchmarking query processing over social media data, and validating hypothesis over users' behavior. It is flexible to generate synthetic data with different distributions. With the help of its asynchronized parallel processing model and delayed update strategy, it is efficient to feed out timeline structure with high throughput. We show in experiments that our method can generate realistic social media timeline structures efficiently.
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